Full-Stack Engineer

Responsibilities

• Backend: deep expertise in Node.js and/or Python (FastAPI); solid grasp of asynchronous programming, RESTful APIs and microservice architectures.
• LLM integration: production experience building or supporting features on LLM APIs (Anthropic, OpenAI or similar) — structured outputs, retries and rate limits, streaming, fallbacks, and an understanding of token economics.
• Databases: strong PostgreSQL — query optimisation, execution plans, relational schema troubleshooting, transaction isolation levels.
• Debugging and observability: practical production troubleshooting with logs, metrics, distributed tracing (trace_id/request_id) and monitoring dashboards.
• Testing: Jest, Supertest or PyTest; robust regression tests; familiarity with evaluating non-deterministic (LLM) behaviour.
• AI-assisted development: daily fluency with agentic coding tools (Claude Code, Cursor or similar) as a normal working method, including judgement about when AI output needs verification.
• LLM observability and evaluation tooling (Langfuse, prompt/trace platforms, eval frameworks).
• Docker and standard CI/CD pipelines.
• Queue systems or event-driven architectures (Kafka, RabbitMQ).
• Security hygiene: dependency vulnerability triage, secrets management.

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