React Technical Lead London, United Kingdom Posted 10 months ago Tech stack TypeScript React HTML5 CSS Next.js Apollo Skills and Experience Required Experience in leading and managing a team of frontend developers, and/or cross functional teams/chapters. Proficiency in HTML5, CSS3, TypeScript, and React. (Experience in NextJS and Apollo GQL beneficial) Extensive knowledge of frontend build tools, package managers, and
24/06/2026
Full time
React Technical Lead London, United Kingdom Posted 10 months ago Tech stack TypeScript React HTML5 CSS Next.js Apollo Skills and Experience Required Experience in leading and managing a team of frontend developers, and/or cross functional teams/chapters. Proficiency in HTML5, CSS3, TypeScript, and React. (Experience in NextJS and Apollo GQL beneficial) Extensive knowledge of frontend build tools, package managers, and
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
23/06/2026
Full time
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Forward Deployed EngineerApplyremote type: Fully Flexiblelocations: London, United Kingdom: Remote, France: Remote, Germanytime type: Full timeposted on: Posted Todayjob requisition id: R34758 Job Description Forward Deployed Engineer (FDE) - AI & Solutions Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.We're hiring a Forward Deployed Engineer (FDE) to join our Technical Presales team. Where you'll be an elite hybrid: part software engineer, part strategic consultant. You'll do more than just sell the dream, you'll execute what's possible. In this role you'll be embedded with strategic customers to design, build, and deliver production-grade AI solutions that unlock measurable ROI. You'll translate customer needs into robust integrations, architect LLM-powered workflows, and collaborate cross-functionally to turn real-world friction into product improvements.You will play a vital role in growing Zendesk's enterprise footprint by delivering high-impact, scalable AI deployments. Building trusted technical partnerships, delivering crisp, production-ready solutions, and amplifying Zendesk's AI capabilities within complex, high-value accounts. What you'll be doing Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field's final line of defense for complex issues. Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction. What you bring to the role Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook. Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality. Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure). AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability. Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems. Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills. Travel readiness: willing to travel as needed to customer sites (typical range 25-50%). Basic qualifications 5+ years software engineering experience delivering production systems. Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation). Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Comfortable working onsite with customers and traveling up to 50% as required. Preferred qualifications Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments. Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar). Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms. Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request. About Us Zendesk is on a mission to simplify the complexity of business and make it easy for companies and customers to create connections.Our customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers. More meaningful moments. Fewer Zoom calls.What's it like to work here? Our offices reflect the global cities we call home, and have spaces for collaboration, quiet, and events.With our hybrid approach, you'll experience flexibility and connection, collaboration, and learning with your team. Recruitment Scam AlertsWe're aware of an increase in recruitment scams where individuals falsely claim to represent Zendesk. These scammers may ask for money or personal information by offering fake job opportunities through e-mail, text message or social media. Please verify the source of any job-related communications carefully. All official Zendesk communications are conducted through email addresses. If you encounter suspicious messages, do not respond and report them to
15/06/2026
Full time
Forward Deployed EngineerApplyremote type: Fully Flexiblelocations: London, United Kingdom: Remote, France: Remote, Germanytime type: Full timeposted on: Posted Todayjob requisition id: R34758 Job Description Forward Deployed Engineer (FDE) - AI & Solutions Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.We're hiring a Forward Deployed Engineer (FDE) to join our Technical Presales team. Where you'll be an elite hybrid: part software engineer, part strategic consultant. You'll do more than just sell the dream, you'll execute what's possible. In this role you'll be embedded with strategic customers to design, build, and deliver production-grade AI solutions that unlock measurable ROI. You'll translate customer needs into robust integrations, architect LLM-powered workflows, and collaborate cross-functionally to turn real-world friction into product improvements.You will play a vital role in growing Zendesk's enterprise footprint by delivering high-impact, scalable AI deployments. Building trusted technical partnerships, delivering crisp, production-ready solutions, and amplifying Zendesk's AI capabilities within complex, high-value accounts. What you'll be doing Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field's final line of defense for complex issues. Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction. What you bring to the role Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook. Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality. Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure). AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability. Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems. Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills. Travel readiness: willing to travel as needed to customer sites (typical range 25-50%). Basic qualifications 5+ years software engineering experience delivering production systems. Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation). Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Comfortable working onsite with customers and traveling up to 50% as required. Preferred qualifications Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments. Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar). Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms. Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request. About Us Zendesk is on a mission to simplify the complexity of business and make it easy for companies and customers to create connections.Our customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers. More meaningful moments. Fewer Zoom calls.What's it like to work here? Our offices reflect the global cities we call home, and have spaces for collaboration, quiet, and events.With our hybrid approach, you'll experience flexibility and connection, collaboration, and learning with your team. Recruitment Scam AlertsWe're aware of an increase in recruitment scams where individuals falsely claim to represent Zendesk. These scammers may ask for money or personal information by offering fake job opportunities through e-mail, text message or social media. Please verify the source of any job-related communications carefully. All official Zendesk communications are conducted through email addresses. If you encounter suspicious messages, do not respond and report them to
Job Description Forward Deployed Engineer (FDE) - AI & Solutions Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.We're hiring a Forward Deployed Engineer (FDE) to join our Technical Presales team. Where you'll be an elite hybrid: part software engineer, part strategic consultant. You'll do more than just sell the dream, you'll execute what's possible. In this role you'll be embedded with strategic customers to design, build, and deliver production-grade AI solutions that unlock measurable ROI. You'll translate customer needs into robust integrations, architect LLM-powered workflows, and collaborate cross-functionally to turn real-world friction into product improvements.You will play a vital role in growing Zendesk's enterprise footprint by delivering high-impact, scalable AI deployments. Building trusted technical partnerships, delivering crisp, production-ready solutions, and amplifying Zendesk's AI capabilities within complex, high-value accounts. What you'll be doing Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field's final line of defense for complex issues. Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction. What you bring to the role Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook. Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality. Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure). AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability. Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems. Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills. Travel readiness: willing to travel as needed to customer sites (typical range 25-50%). Basic qualifications 5+ years software engineering experience delivering production systems. Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation). Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Comfortable working onsite with customers and traveling up to 50% as required. Preferred qualifications Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments. Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar). Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms. Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please .Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
14/06/2026
Full time
Job Description Forward Deployed Engineer (FDE) - AI & Solutions Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.We're hiring a Forward Deployed Engineer (FDE) to join our Technical Presales team. Where you'll be an elite hybrid: part software engineer, part strategic consultant. You'll do more than just sell the dream, you'll execute what's possible. In this role you'll be embedded with strategic customers to design, build, and deliver production-grade AI solutions that unlock measurable ROI. You'll translate customer needs into robust integrations, architect LLM-powered workflows, and collaborate cross-functionally to turn real-world friction into product improvements.You will play a vital role in growing Zendesk's enterprise footprint by delivering high-impact, scalable AI deployments. Building trusted technical partnerships, delivering crisp, production-ready solutions, and amplifying Zendesk's AI capabilities within complex, high-value accounts. What you'll be doing Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field's final line of defense for complex issues. Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction. What you bring to the role Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook. Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality. Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure). AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability. Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems. Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills. Travel readiness: willing to travel as needed to customer sites (typical range 25-50%). Basic qualifications 5+ years software engineering experience delivering production systems. Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation). Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Comfortable working onsite with customers and traveling up to 50% as required. Preferred qualifications Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments. Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar). Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms. Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please .Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Forward Deployed Engineer (FDE) - AI & Solutions We are looking for an elite hybrid of software engineering and strategic consulting to join our Technical Presales team. In this role you will design, build, and deliver production grade AI solutions for our enterprise customers. Responsibilities Lead end to end technical delivery of AI agent and LLM powered solutions, including discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infrastructure, and model behaviour, acting as the field's final line of defense for complex issues. Collaborate closely with Sales Engineering and Product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritised roadmap items, partnering with Zendesk Product and Engineering to reduce future deployment friction. Basic Qualifications 5+ years of software engineering experience delivering production systems. Prior experience as a Forward Deployed Engineer, Professional Services, Solutions Engineering, or Technical Account Manager delivering enterprise AI or SaaS deployments. Proficiency in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands on experience deploying or integrating LLM based solutions in production (RAG, vector databases, model evaluation). Practical experience with cloud platforms (AWS, GCP, or Azure) and containerised deployments (Docker, Kubernetes). Comfortable working onsite with customers and travelling up to 50% as required. Preferred Qualifications Experience with LLM tooling and frameworks such as LangChain, LlamaIndex, Haystack, or similar. Familiarity with Zendesk products and APIs, or experience integrating customer support/contact center platforms. Background in observability and operationalisation of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints. Desired Attributes Founder mindset: navigates ambiguity and delivers results without a predefined playbook. Engineering rigor: strong software fundamentals and focus on quality. Full stack fluency across frontend (React/TypeScript), backend (Python, Node, Java, Ruby), REST/GraphQL APIs, and cloud infrastructure. AI/LLM expertise: prompt engineering, retrieval augmented generation, vector stores, and safety/ reliability guardrails. Systems integration skills: secure data ingestion, ETL/data pipelines, and diverse data stores. Excellent communicator: presents trade offs to executives and documents runbooks. Travel readiness: willing to travel to customer sites as needed (typical range 25-50%). Equal Employment Opportunity Zendesk is an equal opportunity employer. We are committed to diversity and inclusion. All applicants and employees are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, sexual orientation, marital status, medical condition, disability status, or any other characteristic protected by law. If you are based in the United States and would like more information about your EEO rights, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities.
01/06/2026
Full time
Forward Deployed Engineer (FDE) - AI & Solutions We are looking for an elite hybrid of software engineering and strategic consulting to join our Technical Presales team. In this role you will design, build, and deliver production grade AI solutions for our enterprise customers. Responsibilities Lead end to end technical delivery of AI agent and LLM powered solutions, including discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infrastructure, and model behaviour, acting as the field's final line of defense for complex issues. Collaborate closely with Sales Engineering and Product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritised roadmap items, partnering with Zendesk Product and Engineering to reduce future deployment friction. Basic Qualifications 5+ years of software engineering experience delivering production systems. Prior experience as a Forward Deployed Engineer, Professional Services, Solutions Engineering, or Technical Account Manager delivering enterprise AI or SaaS deployments. Proficiency in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands on experience deploying or integrating LLM based solutions in production (RAG, vector databases, model evaluation). Practical experience with cloud platforms (AWS, GCP, or Azure) and containerised deployments (Docker, Kubernetes). Comfortable working onsite with customers and travelling up to 50% as required. Preferred Qualifications Experience with LLM tooling and frameworks such as LangChain, LlamaIndex, Haystack, or similar. Familiarity with Zendesk products and APIs, or experience integrating customer support/contact center platforms. Background in observability and operationalisation of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints. Desired Attributes Founder mindset: navigates ambiguity and delivers results without a predefined playbook. Engineering rigor: strong software fundamentals and focus on quality. Full stack fluency across frontend (React/TypeScript), backend (Python, Node, Java, Ruby), REST/GraphQL APIs, and cloud infrastructure. AI/LLM expertise: prompt engineering, retrieval augmented generation, vector stores, and safety/ reliability guardrails. Systems integration skills: secure data ingestion, ETL/data pipelines, and diverse data stores. Excellent communicator: presents trade offs to executives and documents runbooks. Travel readiness: willing to travel to customer sites as needed (typical range 25-50%). Equal Employment Opportunity Zendesk is an equal opportunity employer. We are committed to diversity and inclusion. All applicants and employees are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, sexual orientation, marital status, medical condition, disability status, or any other characteristic protected by law. If you are based in the United States and would like more information about your EEO rights, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities.
About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer specific applications on our Agentic AI platform. Responsibilities Lead the technical solution design and implementation of large scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post deployment optimization. Own and execute projects end to end: from integration design to agent workflows and full stack delivery. Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or PhD in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer facing or field roles. Proven success building and deploying AI/ML or data intensive applications in production. Deep full stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering enterprise agentic solutions is a huge advantage. Ability to translate ambiguous customer needs into actionable engineering plans. Strong leadership, mentoring, and project ownership abilities. Excellent communication and collaboration across technical and business stakeholders. Location UK - London Equal Opportunity Employer Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
31/05/2026
Full time
About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer specific applications on our Agentic AI platform. Responsibilities Lead the technical solution design and implementation of large scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post deployment optimization. Own and execute projects end to end: from integration design to agent workflows and full stack delivery. Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or PhD in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer facing or field roles. Proven success building and deploying AI/ML or data intensive applications in production. Deep full stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering enterprise agentic solutions is a huge advantage. Ability to translate ambiguous customer needs into actionable engineering plans. Strong leadership, mentoring, and project ownership abilities. Excellent communication and collaboration across technical and business stakeholders. Location UK - London Equal Opportunity Employer Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.