About WRITER WRITER is where the world's leading enterprises orchestrate AI powered work. Our vision is to expand human capacity through superintelligence. And we've proven it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise wide transformation. With WRITER's end to end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise grade LLMs. Valued at $1.9B and backed by industry leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work - you're defending cutting edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale. You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense in depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating. This role can be based inSan reporting to our head of security operations. What you'll do Design and implement detection strategies that identify AI specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them Build detection as code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data Collaborate cross functionally as the operational security partner for all teams - translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails Maintain 24/7 on call rotation for critical AI security incidents, responding to real time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve What you need 3 5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, plus 3+ years specifically securing AI/ML infrastructure, high performance computing environments, or other distributed systems at scale Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud native and distributed computing environments Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments Self directed execution mindset with a track record of securing high value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents Deep alignment with WRITER's values - you naturally connect across security, infrastructure, and AI research teams to build comprehensive defenses, you challenge assumptions about what's possible in AI security engineering, and you own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
09/07/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI powered work. Our vision is to expand human capacity through superintelligence. And we've proven it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise wide transformation. With WRITER's end to end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise grade LLMs. Valued at $1.9B and backed by industry leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work - you're defending cutting edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale. You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense in depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating. This role can be based inSan reporting to our head of security operations. What you'll do Design and implement detection strategies that identify AI specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them Build detection as code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data Collaborate cross functionally as the operational security partner for all teams - translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails Maintain 24/7 on call rotation for critical AI security incidents, responding to real time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve What you need 3 5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, plus 3+ years specifically securing AI/ML infrastructure, high performance computing environments, or other distributed systems at scale Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud native and distributed computing environments Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments Self directed execution mindset with a track record of securing high value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents Deep alignment with WRITER's values - you naturally connect across security, infrastructure, and AI research teams to build comprehensive defenses, you challenge assumptions about what's possible in AI security engineering, and you own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
is seeking a Security Engineer for their London office to build security foundations for AI systems powering leading brands. The role involves integrating security into application development, conducting threat modeling, and advancing application security strategies. Candidates should have 4+ years in application security, knowledge of security tools, and expertise in multiple programming languages. This hybrid position offers rich benefits, including competitive compensation and generous PTO.
09/07/2026
Full time
is seeking a Security Engineer for their London office to build security foundations for AI systems powering leading brands. The role involves integrating security into application development, conducting threat modeling, and advancing application security strategies. Candidates should have 4+ years in application security, knowledge of security tools, and expertise in multiple programming languages. This hybrid position offers rich benefits, including competitive compensation and generous PTO.
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement-partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying 'no'-it's about finding creative ways to say 'yes, and here's how we do it securely.' You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago. This role is hybrid from our London office, reporting to the head of security engineering. What you'll do Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one-not after the fact Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers. Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products Lead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks What you need 4+ years of hands on experience in application security engineering, with a proven track record of securing large scale production systems-bonus points if you've worked in fast-growing startups or high growth environments Understanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers. Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implications Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices-you know which tools to use and when automation beats manual review Excellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non technical audiences-you can explain why something matters and motivate teams to action A builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks-you understand that security enables the business, not blocks it Alignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end to end responsibility for the security of our platform) Benefits & perks (UK full time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
09/07/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement-partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying 'no'-it's about finding creative ways to say 'yes, and here's how we do it securely.' You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago. This role is hybrid from our London office, reporting to the head of security engineering. What you'll do Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one-not after the fact Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers. Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products Lead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks What you need 4+ years of hands on experience in application security engineering, with a proven track record of securing large scale production systems-bonus points if you've worked in fast-growing startups or high growth environments Understanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers. Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implications Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices-you know which tools to use and when automation beats manual review Excellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non technical audiences-you can explain why something matters and motivate teams to action A builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks-you understand that security enables the business, not blocks it Alignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end to end responsibility for the security of our platform) Benefits & perks (UK full time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
is looking for a Software Engineer specializing in Generative AI to design and optimize AI services and applications. You will work remotely or in their London office, collaborating with product managers and engineers to create impactful AI solutions. Candidates should have 3-5+ years of experience in Python development and demonstrate expertise in generative AI applications. The role offers generous perks including PTO, comprehensive medical insurance, and competitive compensation.
05/07/2026
Full time
is looking for a Software Engineer specializing in Generative AI to design and optimize AI services and applications. You will work remotely or in their London office, collaborating with product managers and engineers to create impactful AI solutions. Candidates should have 3-5+ years of experience in Python development and demonstrate expertise in generative AI applications. The role offers generous perks including PTO, comprehensive medical insurance, and competitive compensation.
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive - for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions. This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that's changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager. We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise. What you'll do Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads What you need 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
05/07/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive - for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions. This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that's changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager. We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise. What you'll do Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads What you need 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
is seeking a Software Quality Engineer to ensure the quality of cutting-edge AI applications. This hybrid role involves defining quality assurance strategies and collaborating with cross-functional teams to enhance software reliability and performance. The ideal candidate will bring 5+ years of QA experience, proficiency in Python or TypeScript, and knowledge of AI/ML concepts. Excellent benefits include generous PTO, medical insurance, and competitive compensation.
03/07/2026
Full time
is seeking a Software Quality Engineer to ensure the quality of cutting-edge AI applications. This hybrid role involves defining quality assurance strategies and collaborating with cross-functional teams to enhance software reliability and performance. The ideal candidate will bring 5+ years of QA experience, proficiency in Python or TypeScript, and knowledge of AI/ML concepts. Excellent benefits include generous PTO, medical insurance, and competitive compensation.
is seeking a Deployment Engineer to partner with enterprise clients in London. This hybrid role is critical in harnessing AI solutions by transforming complex needs into impactful applications. The successful candidate will have extensive experience in technical SaaS roles, especially in solutions architecture and consulting. Join us in shaping the future of work through innovation and cutting-edge AI technology, while enjoying benefits such as generous PTO and comprehensive medical coverage.
03/07/2026
Full time
is seeking a Deployment Engineer to partner with enterprise clients in London. This hybrid role is critical in harnessing AI solutions by transforming complex needs into impactful applications. The successful candidate will have extensive experience in technical SaaS roles, especially in solutions architecture and consulting. Join us in shaping the future of work through innovation and cutting-edge AI technology, while enjoying benefits such as generous PTO and comprehensive medical coverage.
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it is possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
03/07/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it is possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
is seeking an experienced AI Engineer to shape how enterprises leverage superintelligence through AI solutions. This role involves architecting and deploying scalable AI applications in a hybrid environment at our London hub. You will work collaboratively with diverse teams to ensure innovations meet critical business needs. The ideal candidate has extensive experience in building AI systems, strong Python proficiency, and familiarity with frameworks like PyTorch and TensorFlow. Benefits include competitive compensation, comprehensive health insurance, and generous paid time off.
03/07/2026
Full time
is seeking an experienced AI Engineer to shape how enterprises leverage superintelligence through AI solutions. This role involves architecting and deploying scalable AI applications in a hybrid environment at our London hub. You will work collaboratively with diverse teams to ensure innovations meet critical business needs. The ideal candidate has extensive experience in building AI systems, strong Python proficiency, and familiarity with frameworks like PyTorch and TensorFlow. Benefits include competitive compensation, comprehensive health insurance, and generous paid time off.
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies. This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI. This is a hybrid role based out of London hub. What you'll do Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment What you need Over 5 years of hands on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast paced, high growth B2B SaaS environment Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C suite leadership A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
03/07/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies. This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI. This is a hybrid role based out of London hub. What you'll do Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment What you need Over 5 years of hands on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast paced, high growth B2B SaaS environment Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C suite leadership A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI powered work orchestration platform. You'll be at the forefront of defining and implementing rigorous quality strategies for our enterprise grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post release quality validation. Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world class AI solutions. Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution. What you need 5+ years of hands on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed. A collaborative spirit that helps you Connect cross functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end to end quality of our products. Demonstrated ability to drive initiatives independently and thrive in a fast paced, evolving startup environment. Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
02/07/2026
Full time
Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI powered work orchestration platform. You'll be at the forefront of defining and implementing rigorous quality strategies for our enterprise grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post release quality validation. Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world class AI solutions. Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution. What you need 5+ years of hands on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed. A collaborative spirit that helps you Connect cross functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end to end quality of our products. Demonstrated ability to drive initiatives independently and thrive in a fast paced, evolving startup environment. Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
is seeking a staff detection and response engineer in Greater London to protect its AI infrastructure. This role involves designing AI-specific detection strategies and building automated response systems, requiring 3-5 years in security operations and a solid programming background. Candidates should be self-directed and aligned with the company's values. Benefits include generous PTO, medical insurance, competitive compensation, and stock options.
02/07/2026
Full time
is seeking a staff detection and response engineer in Greater London to protect its AI infrastructure. This role involves designing AI-specific detection strategies and building automated response systems, requiring 3-5 years in security operations and a solid programming background. Candidates should be self-directed and aligned with the company's values. Benefits include generous PTO, medical insurance, competitive compensation, and stock options.
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City or London hubs. You'll report to our director of engineering. What you'll do Automate operational tasks and infrastructure management by developing robust tools and platforms using Python, Go, or similar languages, significantly reducing manual toil across our production environment Design and implement scalable, fault-tolerant infrastructure solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform Own the reliability, performance, and efficiency of WRITER's core services, defining and upholding stringent Service Level Objectives (SLOs) and Error Budgets Own the observability stack for monitoring, logging, and alerting systems to ensure rapid detection of issues across our complex distributed systems Lead incident response, post-mortems, and root cause analyses, applying learnings to proactively prevent future outages and build a more resilient system architecture Collaborate closely with product and engineering teams, providing expert guidance on system design for reliability, performance, and scalability from conception through launch What you need A solid 7+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems Deep expertise with cloud platforms (AWS strongly preferred), containerization technologies like Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform Strong proficiency in programming languages such as Python, Java, Go for automation and monitoring Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to maintain system health and performance Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
13/06/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City or London hubs. You'll report to our director of engineering. What you'll do Automate operational tasks and infrastructure management by developing robust tools and platforms using Python, Go, or similar languages, significantly reducing manual toil across our production environment Design and implement scalable, fault-tolerant infrastructure solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform Own the reliability, performance, and efficiency of WRITER's core services, defining and upholding stringent Service Level Objectives (SLOs) and Error Budgets Own the observability stack for monitoring, logging, and alerting systems to ensure rapid detection of issues across our complex distributed systems Lead incident response, post-mortems, and root cause analyses, applying learnings to proactively prevent future outages and build a more resilient system architecture Collaborate closely with product and engineering teams, providing expert guidance on system design for reliability, performance, and scalability from conception through launch What you need A solid 7+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems Deep expertise with cloud platforms (AWS strongly preferred), containerization technologies like Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform Strong proficiency in programming languages such as Python, Java, Go for automation and monitoring Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to maintain system health and performance Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
is looking for an experienced Infrastructure Engineer to join its team in London or New York City. This hybrid role focuses on building and maintaining reliable, scalable infrastructure for AI-powered workflows. The ideal candidate has over 7 years of infrastructure engineering experience, expertise with cloud platforms, containerization, and automation in Python or Go. Attractive benefits include generous PTO, comprehensive insurance, and competitive compensation with stock options.
13/06/2026
Full time
is looking for an experienced Infrastructure Engineer to join its team in London or New York City. This hybrid role focuses on building and maintaining reliable, scalable infrastructure for AI-powered workflows. The ideal candidate has over 7 years of infrastructure engineering experience, expertise with cloud platforms, containerization, and automation in Python or Go. Attractive benefits include generous PTO, comprehensive insurance, and competitive compensation with stock options.