Python Engineer

• Engineer Python backend services and APIs using FastAPI and asynchronous development patterns
• Design and integrate LLM capabilities using OpenAI, Azure OpenAI or comparable foundation models
• Build practical RAG, enterprise search and document intelligence solutions using embeddings and vector databases
• Develop prompt strategies while managing production considerations including latency, cost, retries and rate limits
• Explore agentic workflows and LLM orchestration using LangChain or similar frameworks
• Work with consultants and customer stakeholders to translate operational problems into practical AI solutions
• Improve security, testing, observability and reliability across deployed applications

• 5+ years’ commercial Python engineering experience, including production backend systems
• Strong FastAPI, REST API, async Python, PostgreSQL and SQL experience
• Demonstrable experience integrating LLMs into real applications, rather than purely personal or experimental projects
• Strong Docker, Kubernetes/OpenShift, CI/CD and pytest knowledge
• Experience working with large codebases and improving existing services safely
• Knowledge of Azure, RAG, pgvector, Chroma, FAISS, Entra ID, OAuth/OIDC, Redis, Terraform, Prometheus or OpenTelemetry would strengthen your application.

Ncounter is working with a technology consultancy expanding its AI engineering capability across major law enforcement and public sector transformation programmes. We are looking for an experienced Python Developer who has moved beyond experimenting with Generative AI and has genuine experience engineering LLM-powered solutions for production environments.