Python Developer
Role details
Job location
Tech stack
Job description
"Opportunity: AI Full-Stack Engineer
Location: London/In Office (5 Day)
Looking for: Strong Python Full Stack engineers who can build production-grade Agentic AI systems
What you'll do Build multi-agent systems & stateful workflows using Google ADK/LangChain/LangGraph Tool calling & API integration - secure Python APIs that agents can actually use Prompt engineering & state management - system instructions, memory, context windows Structured outputs - JSON schemas + Pydantic validation to keep LLMs in check Guardrails & safety - circuit breakers, fallback logic, hallucination control Observability & evals-as-code - tracing agent reasoning + automated prompt testing
Must Have - What we're looking for Strong Python/Back End background - APIs, microservices, system design Hands-on with LLM APIs (Gemini, OpenAI, Claude) & orchestration frameworks Solid understanding of Google Cloud services & resources Google Professional Cloud Architect certification - must-have Comfortable with containers, cloud deploys, CI/CD Testing mindset - unit & integration tests for probabilistic systems Systems thinker - decision trees, async events, graceful state handling
Nice To Have A PhD in ML Experience pre-training foundational models or wrangling GPU clusters Calculus-heavy algorithm design TL;DR: Strong Python Fullstack engineer + GCP Certified Architect who can build reliable Agentic AI systems.
Pay Rate: Up to £427.16md
Requirements
Build multi-agent systems & stateful workflows using Google ADK/LangChain/LangGraph Tool calling & API integration - secure Python APIs that agents can actually use Prompt engineering & state management - system instructions, memory, context windows Structured outputs - JSON schemas + Pydantic validation to keep LLMs in check Guardrails & safety - circuit breakers, fallback logic, hallucination control Observability & evals-as-code - tracing agent reasoning + automated prompt testing
Must Have - What we're looking for Strong Python/Back End background - APIs, microservices, system design Hands-on with LLM APIs (Gemini, OpenAI, Claude) & orchestration frameworks Solid understanding of Google Cloud services & resources Google Professional Cloud Architect certification - must-have Comfortable with containers, cloud deploys, CI/CD Testing mindset - unit & integration tests for probabilistic systems Systems thinker - decision trees, async events, graceful state handling
Nice To Have A PhD in ML Experience pre-training foundational models or wrangling GPU clusters Calculus-heavy algorithm design TL;DR: Strong Python Fullstack engineer + GCP Certified Architect who can build reliable Agentic AI systems.