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# Python Engineer

- **Company:** Ncounter Technology Recruitment
- **Location:** Surbiton, UK
- **Experience:** Expert
- **Salary:** £90,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Decision Support Systems, Information Extraction, Python (Programming Language), PostgreSQL, OAuth, OpenID, OpenShift, Redis, Prometheus, Standard Sql, SQL Databases, Systems Integration, Enterprise Search, Retrieval-Augmented Generation, Large Language Models, Backend, Fastapi, SC Clearance, Pytest, Kubernetes, Codebase, Front End Software Development, Restful APIs, Terraform, Docker
- **Published:** September 30, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5902754670

## About the Role

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

## Description

* 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 and manage 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
 * Help organisations explore how AI can improve complex operational processes, information discovery, and decision support
 * Take ideas from discovery and prototype stages into secure, reliable services, working alongside architects, consultants, and frontend engineers

Technologies:

 * AI
 * API
 * Azure
 * Backend
 * CI/CD
 * Docker
 * FastAPI
 * Frontend
 * Support
 * Kubernetes
 * LLM
 * OAuth
 * OpenTelemetry
 * OpenShift
 * PostgreSQL
 * Prometheus
 * Python
 * RAG
 * REST
 * Redis
 * SQL
 * Security
 * Terraform
 * pytest
 * Cloud


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