full stack developer for AI customer support and safety

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• Design, build, and run backend services in Go and Python, owning production delivery, monitoring, and on-call
• Build and evolve backend services for LLM-based agents, including tool calling, MCP integrations, structured output, conversation state, and code guardrails
• Build internal web applications in React and TypeScript, from admin pages to complex interactive interfaces
• Support and develop existing production services through reviews, on-call, fixes, and new features
• Design data models and APIs for configuration-heavy products, ensuring consistency, history, and safe changes
• Integrate services with the wider backend using reliable synchronous HTTP, gRPC, and GraphQL communication and asynchronous Kafka communication
• Build end-to-end observability, including metrics, logs, dashboards, tracing, alerting, and runbooks
• Drive technical research and design for new features, evaluate trade-offs, and document decisions
• Participate in code and design reviews, help raise engineering standards, mentor engineers, and review AI-generated changes to the same standard as human-written changes

• 5+ Years of commercial software engineering experience, including production work on both backend and frontend
• Production coding experience without coding agents
• Strong Go skills, including production use of advanced features
• Strong Python skills for service code, including async, typing, testing, and a modern web framework such as FastAPI
• Hands-on experience building and running AI agents in production
• Strong TypeScript and React skills, including building and maintaining complex web applications with forms, editors, and data visualisation
• Strong SQL skills, including schema design, indexes, query optimisation, and migrations; experience with Redis or similar key-value stores
• Experience with synchronous and asynchronous service communication using HTTP, gRPC, GraphQL, and Kafka, with a focus on reliability
• Experience with Docker and CI/CD pipelines, working knowledge of Kubernetes, and experience with core AWS/GCP services for compute, storage, networking, and IAM
• Experience designing and operating observability systems, including metrics, logging, dashboards, and tracing with Prometheus, Grafana, OpenTelemetry, or similar tools
• Familiarity with Git workflows, code review, the Linux command line, and networking basics
• Ability to clearly explain trade-offs to data scientists, product owners, and on-call engineers
• Experience using AI coding agents and fully reviewing generated changes

• Access to mentoring, career consulting, and learning programs
• International experience through the Global Talent Exchange Program
• Company-wide challenges, awards, sports activities, employee-led social impact, and volunteering projects
• Co-financed language courses and internal speaking clubs
• Final benefits may vary depending on the location