Proven experience operating at Staff, Principal or equivalent senior IC level, with a strong track record of shipping production systems used by real users.

Strong Python engineering skills with substantial hands-on experience building LLM- powered applications in production.

Deep experience with RAG, retrieval pipelines, Agentic AI, agent orchestration and AI backend services.

Strong understanding of LLM behaviour and failure modes, including hallucination, context degradation, latency and model evaluation.

Experience owning AI products end-to-end across backend services, APIs and user- facing interfaces.

Hands-on experience with modern Agentic AI and LLM frameworks such as LangChain, LangGraph or similar technologies.

Comfortable working across a modern technology stack, including React, APIs, PostgreSQL, Docker, cloud environments and CI/CD.

Experience with AI evaluation frameworks, including retrieval quality, grounding, regression testing and offline/online evaluation.

Strong experience using AI coding agents and AI-native development approaches as part of day-to-day software engineering.

Experience designing reusable engineering standards, tooling and architectures that improve how wider engineering teams build AI products.

Proven experience operating at Staff, Principal or equivalent senior IC level, with a strong track record of shipping production systems used by real users.

Strong Python engineering skills with substantial hands-on experience building LLM- powered applications in production.

Deep experience with RAG, retrieval pipelines, Agentic AI, agent orchestration and AI backend services.

Strong understanding of LLM behaviour and failure modes, including hallucination, context degradation, latency and model evaluation.

Experience owning AI products end-to-end across backend services, APIs and user- facing interfaces.

Hands-on experience with modern Agentic AI and LLM frameworks such as LangChain, LangGraph or similar technologies.

Comfortable working across a modern technology stack, including React, APIs, PostgreSQL, Docker, cloud environments and CI/CD.

Experience with AI evaluation frameworks, including retrieval quality, grounding, regression testing and offline/online evaluation.

Strong experience using AI coding agents and AI-native development approaches as part of day-to-day software engineering.

Experience designing reusable engineering standards, tooling and architectures that improve how wider engineering teams build AI products.