Senior Software Engineer | Full Stack (AI Customer Support and Safety)

We are looking for a Senior Software Engineer to build and run backend services and internal web applications for our AI teams. You will write production-grade Go, Python and TypeScript , own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.

Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.

5+ years of commercial software engineering, with production work on both backend and frontend . You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: 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: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.