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# Python Developer - AI / LLM Platform

- **Company:** 1 Hr Ago By Ncounter
- **Location:** Reading, UK
- **Experience:** Expert
- **Salary:** £90,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Continuous Integration, Python (Programming Language), PostgreSQL, OAuth, OpenID, OpenShift, Redis, Prometheus, Software Engineering, SQL Databases, SQLAlchemy, Systems Integration, Large Language Models, Grafana, Software Security, Fastapi, SC Clearance, Pytest, Kubernetes, Codebase, Terraform, Docker
- **Published:** September 8, 2026
- **Apply:** https://www.reed.co.uk/jobs/python-developer-ai-llm-platform/57322105

## About the Role

* 5+ years of commercial Python development experience, ideally including FastAPI and strong asynchronous Python

 * Strong PostgreSQL/SQL experience alongside SQLAlchemy or SQLModel

 * Production experience integrating OpenAI, Azure OpenAI or comparable LLM APIs

 * Docker, Kubernetes/OpenShift, CI/CD and automated testing with pytest

 * Experience supporting and improving large, established production codebases, with a strong understanding of secure software development

Experience with LangChain, RAG, vector databases, Azure, Entra ID, OAuth/OIDC, Redis, Terraform, Helm, Prometheus, Grafana or OpenTelemetry would be valuable but is not essential.

Current SC clearance, or recent SC clearance suitable for reinstatement, is required.

If you are a strong Python engineer who enjoys taking ownership of real production systems while developing practical AI capabilities, contact Ncounter to discuss the role in more detail.

## Description

This is a hands-on software engineering position, combining new development with responsibility for established production systems. You will work within a sizeable existing codebase, building Python services and APIs, integrating LLM capabilities and improving the security, reliability and maintainability of live platforms. Rather than replacing existing systems, you will be expected to understand them quickly and improve them safely over time., * Build and maintain production Python services and APIs, while improving existing components through structured refactoring

 * Integrate LLM APIs and develop practical AI capabilities across live platforms

 * Take ownership of production issues, testing, observability and ongoing platform reliability

 * Strengthen application security, deployment practices and technical documentation


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