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A technology company in the UK is looking for a Senior Front-End Engineer to develop tools for proposals, contracts, and invoicing. You will be responsible for designing interfaces that simplify complex workflows, collaborating closely with Product and Design teams. Ideal candidates should have strong experience in React and TypeScript, as well as a track record in performance optimization and best practices for accessibility. The role operates in a hybrid work environment with a focus on team collaboration.

Senior Front-End Engineer, Bonsai What you can expect Bonsai, now part of Zoom, builds tools that help agencies and professional teams focus on meaningful work. We are looking for a Senior Frontend Engineer to shape interfaces for proposals, contracts, invoices, payments, time tracking, and projects. Make complex workflows simple, elegant, and enjoyable. Work with Product and Design to define the experience from the ground up. Own your code and your impact. Influence a product used by teams around the world. Join a team that combines startup energy with Zoom's scale. Your work will help small businesses focus on what matters-not busywork. About the Team At Bonsai, we build technology that helps agencies, consultancies, and professional services teams do their best work without getting buried in busywork. Now part of Zoom, we combine deep operational expertise with Zoom's mission to create meaningful, flexible human connection. From small studios to growing global teams, we design tools that remove friction across proposals, contracts, projects, time tracking, and billing. Together with Zoom, we build smarter systems, collaborate more freely, and help shape the future of work. Responsibilities Leading development of core product surfaces across proposals, invoicing, payments, contracts, and time tracking. Designing and implementing component architectures and reusable UI patterns using React and TypeScript. Collaborating with Product and Design to deliver user experiences with high clarity, performance, and responsiveness. Integrating frontend surfaces with backend services and APIs, including payments, authentication, and workflows. Driving frontend performance optimization, regression prevention, and cross-browser/device reliability. Contributing to internationalization and localization efforts as Bonsai expands into new geographies and currencies. Participating in design reviews, roadmap discussions, and technical planning to shape long-term product strategy. What we're looking for Deep proficiency in React, TypeScript, Redux and MobX with understanding of component-driven design. Integrate frontend applications with REST APIs and handle complex client-side data flows. Collaborate effectively with Product and Design to deliver polished user experiences. Ensure frontend performance, testing, and accessibility best practices are met consistently. Develop SaaS products; experience with payments, invoicing, or workflow systems is advantageous. Operate independently in teams with high autonomy and ownership expectations. Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Learn more information here. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team The Sandbox service team at xAI builds and maintains a secure, scalable system that gives our models safe, controlled access to computational environments. This infrastructure powers critical workloads across training and product, enabling models to run code, build software, interact with tools, and even control applications with user interfaces. We provision containers and virtual machines on large-scale clusters, granting models interactive control over these remote environments. Our work spans the full stack: from orchestrating massive jobs and resource scheduling at the cluster level, to fine tuning filesystem performance on nodes. The Sandbox service enables Grok to safely run and test code in real time for user queries, and supports reinforcement learning in training, where models interactively explore tools ranging from compilers to productivity apps. About the role Expect deeply technical work in a fast-moving environment. We prioritize speed and rapid iteration without compromising on reliability or performance. Ideal candidates have strong backgrounds in at least the following: Expert knowledge of Rust, C++ or Go Familiarity with Python Deep experience with either Linux or Windows systems (familiarity with both is a strong plus) Experience with virtualization and containerization technologies (e.g., cgroups, KVM, gVisor, QEMU) Solid knowledge of the networking stack Interview process After submitting your application, the team reviews your statement of exceptional work and CV. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role In this role, you work on our internal developer tooling. The goal of the team is to increase the productivity across the entire organization by building and improving applications for debugging local environments and visualizing production data. An ideal candidate meets at least the following requirements: Expert knowledge of React Can create intuitive UIs without the help of a designer Expert knowledge of Tailwind/CSS Location The role is based in our London office close to the Piccadilly Circus underground station. We usually work from the office 5 days a week but allow for work from home days when required. Candidates must be willing to attend late meetings at least twice a week to coordinate with the rest of our team, which is based in California. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews. Our goal is to finish the process within one week. All interviews will be conducted via Google Meet. Benefits Competitive cash based compensation xAI equity Private health and dental insurance xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

A growing technology company based in London is seeking an AI Inference Engineer to join their team. The role involves developing APIs for AI inference, improving system reliability, and exploring LLM optimizations using technologies like Python, Rust, C++, and PyTorch. Candidates should have experience with machine learning systems and GPU architectures. This position offers competitive compensation including potential equity.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role In this role, you work on our internal developer tooling. The goal of the team is to increase the productivity across the entire organization by building and improving applications for debugging local environments, visualizing production data, and speeding up our CI pipelines. An ideal candidate meets at least the following requirements: Expert knowledge of Python Experience using Docker and Kubernetes Some familiarity with Rust and/or C++ Location The role is based in our London office close to the Piccadilly Circus underground station. We usually work from the office 5 days a week but allow for work from home days when required. Candidates must be willing to attend late meetings at least twice a week to coordinate with the rest of our team, which is based in California. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews. Our goal is to finish the process within one week. All interviews will be conducted via Google Meet. Benefits Competitive cash based compensation xAI equity Private health and dental insurance xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Location London Employment Type Full time Department AI Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross function with teams across our global footprint. The individual in this role will manage teams in London themselves while also facilitating. Responsibilities Site Leadership & Culture Establish and lead Perplexity's London office, setting the cultural foundation and operating principles Build a collaborative, high performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem Serve as the primary point of contact for all London based activities and represent the site in company wide strategic discussions Partner with People/HR, Finance, and Operations to ensure seamless site operations Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community Technical Leadership Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) Set technical direction and strategy for London based infrastructure initiatives in alignment with company wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best practices, and cross site initiatives Team Building & Talent Build and scale high performing infrastructure and AI infrastructure teams through strategic hiring Develop and execute talent acquisition strategy for the London site in partnership with recruiting Create career development frameworks and growth opportunities for engineers Foster technical mentorship and knowledge sharing across teams and sites Cross functional Collaboration Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions Coordinate with other site leads and engineering leaders to ensure effective cross site collaboration Contribute to company wide infrastructure strategy and roadmap planning Facilitate knowledge transfer and best practice sharing across global teams Qualifications Required 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles 3+ years of people management experience, including building and scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large scale AI/ML systems, including GPU infrastructure and orchestration, ML training and inference pipelines, and model serving and deployment at scale Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems Demonstrated ability to set technical vision and drive execution across multiple teams Excellent communication and stakeholder management skills Experience working in fast paced, high growth technology companies Passion for building inclusive, diverse, and high performing teams Preferred Experience at companies focused on AI/ML, search, or large scale consumer applications Previous experience as a site lead, office lead, or similar multi team leadership role Background in building infrastructure for LLM training or inference Contributions to open source infrastructure or AI infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London or European tech community MBA or advanced technical degree What Success Looks Like 30 Days Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure Established relationships with key stakeholders across engineering, product, and leadership Initial hiring plan and culture strategy for London site established Help the Search, API, AI and Infra teams build out their hiring pipelines 90 Days Core infrastructure team established and ramping in London Clear technical roadmap and priorities defined for London based teams Site culture and operating rhythms established (team meetings, all hands, cross site syncs) London office actively participating in company wide infrastructure initiatives 1 Year London site operating as a high functioning hub with 15-30+ engineers Infrastructure teams delivering measurable impact on system reliability, performance, and scalability Strong talent brand established in London market with healthy hiring pipeline London recognized internally as a strategic site contributing to Perplexity's technical leadership Why Join Perplexity Ground floor opportunity to build and lead a strategic site for a fast growing AI company Work on cutting edge AI infrastructure challenges at massive scale Shape the culture and technical direction of an entire office Competitive compensation including equity Comprehensive benefits package Flexible work environment Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid) Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

A fast-growing AI company is seeking a Site Lead for its London office. This role involves establishing a new technical organization, building a high-performance engineering culture, and managing infrastructure teams. Candidates should have extensive experience in software engineering, strong leadership skills, and a background in AI infrastructure. The role offers competitive compensation and the chance to shape a significant tech hub in London, contributing to innovative AI solutions.

A technology-focused organization in Greater London is seeking a technically proficient engineer with expertise in Rust, C++, or Go. The role emphasizes deep technical work in a dynamic environment, supporting secure systems and enabling models to execute code. Ideal candidates will have experience in Linux or Windows systems, virtualization technologies, and solid networking knowledge. This position promises competitive benefits, including medical coverage and equity opportunities.

A leading technology company in London is seeking a developer focused on improving internal tools to enhance productivity. The ideal candidate has expert knowledge of Python and experience with Docker and Kubernetes. You will build applications for debugging and visualizing data while collaborating with a California-based team through hybrid work arrangements. Benefits include competitive compensation and health insurance.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team In this role you will work on xAI's production systems that power and the API. The actual team matching will happen at the offer stage. About the role As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. You strive for perfection and listen carefully to your users in order to solve any pain points they might experience. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial. Expert knowledge of either Rust or C++ Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems Knowledge of service observability and reliability best practices Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python Experience with Docker, Kubernetes, and containerized applications Expert knowledge of TypeScript Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping) Hands on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user facing software at scale Interview process After submitting your application, the team reviews your statement of exceptional work and CV. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a pension plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Location London Employment Type Full time Department AI We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference. Responsibilities Develop APIs for AI inference that will be used by both internal and external customers Benchmark and address bottlenecks throughout our inference stack Improve the reliability and observability of our systems and respond to system outages Explore novel research and implement LLM inference optimizations Qualifications Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX) Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.) Understanding of GPU architectures or experience with GPU kernel programming using CUDA Final offer amounts are determined by multiple factors, including, experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

A leading technology firm in Greater London is seeking a candidate with strong frontend development skills, especially in React and TypeScript. The role involves working on production systems for the company's API, emphasizing maintainability and user experience. Successful applicants will participate in technical interviews focused on coding skills. The position offers comprehensive benefits including equity and medical coverage, supporting a diverse workforce.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. Who you are You believe truth seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a pension plan, short & long term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team In this role you will work on xAI's production systems that power and the API. The actual team matching will happen at the offer stage. About the role As an ideal candidate you have a good understanding of how complex frontend projects are implemented. You know how to set up code bases with long term maintainability in mind. When building UIs, you focus on performance and usability. Ideally, you also bring the following: Expert knowledge React, TypeScript, and Tailwind Export knowledge of NextJS An eye for good user interface design Good understanding of the HTTP protocol Additionally, any of the below points will help a candidate stand out: Experience with Docker, Kubernetes, and containerized applications Experience with backend engineering (Rust is a plus) Expert knowledge of gRPC (unary, response streaming, bi directional streaming, REST mapping) Hands on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user facing software at scale Interview process After submitting your application, the team reviews your statement of exceptional work and CV. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: React coding interview HTML/CSS/Tailwind coding interview Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a pension plan, short & long term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer.

A leading AI company in Greater London is seeking exceptional software engineers to tackle critical product and technical challenges. You will thrive in a meritocratic environment and be expected to contribute directly to the company's mission. Candidates should possess strong communication skills and be proficient in Rust or C++. Benefits include competitive salary, equity, comprehensive medical coverage, and more, with a commitment to equal opportunities.

A tech-driven company in London is seeking an experienced individual for a backend services role focused on Kubernetes and continuous deployment. The ideal candidate should have expert knowledge of technologies such as Prometheus and Terraform. This position offers competitive cash-based compensation and equity, with a strong focus on collaboration and communication within a motivated team. Candidates must be willing to attend late meetings occasionally to coordinate with the team.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team You will work on the team that is responsible for the backend services that power and our API. Our team is currently based primarily in London with a small but growing number of engineers located in Palo Alto. We focus on writing highly scalable and reliable services that can efficiently process tens of thousands of queries per second. The services are hosted on a number of Kubernetes clusters (on prem & cloud). About the role An ideal candidate meets at least the following requirements: Expert knowledge of Kubernetes Expert knowledge of continuous deployment systems such as Buildkite and ArgoCD Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty Expert knowledge of infrastructure as code technologies such as Pulumi or Terraform Location We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work from home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews. All interviews will be conducted via Google Meet. Benefits Competitive cash based compensation xAI equity Private health and dental insurance xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data; Interacting with internal and/or external clients and colleagues; and Exercising sound judgment. California Consumer Privacy Act (CCPA) Notice