6 of 6 FastAPI Jobs in Central London

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph ...

plus AI product UX patterns such as streaming, review loops, provenance/citations, long-running tasks and error recovery. Back-end: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask and RESTful APIs. Databases and storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud and DevOps: Azure … Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation ...

Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more ...

good knowledge of cloud based services (they use GCP but AWS or Azure experience is fine) You have experience of building APIs, ideally FastAPI experience You have a good knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data ...

obsessed with the customer, which is how we hold 4.9 on both Trustpilot and Google. The stack: TypeScript on the backend, Python and FastAPI for Jay, Next.js up front, AWS underneath, Claude Code woven through how we build. You won't have used all of it, and you'll change ...

obsessed with the customer, which is how we hold 4.9 on both Trustpilot and Google. The stack: TypeScript on the backend, Python and FastAPI for Jay, Next.js up front, AWS underneath, Claude Code woven through how we build. You won't have used all of it, and you'll change ...