AI Architect

London Area, United Kingdom Full-time Posted 2 weeks ago

Technical Skills Required

Proven experience of:

Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual

Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot

RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks

LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use

Python / TypeScript: Primary languages for agent + backend development

LangSmith / Observability: Tracing, evaluation, debugging agent runs

Cloud Platforms: Azure, AWS, GCP (at least one) - deployment, infra, managed services

API & System Integration: REST, gRPC, Kafka - enterprise integration patterns

MCP / Shared Context: Model Context Protocol, CLAUDE.md, Beads

Agent Evaluation: Testing non-deterministic outputs, guardrails, evals

CI/CD & DevOps: Git, containers, pipelines - agents need to ship

Client Communication: Can present architecture to a CXO without jargon

Must have:

•Deployed 2–3 agent-based systems in production - stateful, multi-step, real users

•Used LangGraph for multi-agent orchestration with memory, tool routing, and state management

•Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code

•Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation

•Integrated agents with real enterprise APIs - not just OpenAI playground or sample data

•Debugged a production agent failure - and fixed it without blaming the model

•Can articulate when NOT to use agents - that is how we know you have built things

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