> Markdown version of [/jobs/ext/4573696-senior-ai-python-engineer](https://www.wearedevelopers.com/jobs/ext/4573696-senior-ai-python-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/Python Engineer - **Company:** GCS Ltd - **Location:** London, UK - **Experience:** Expert - **Salary:** £143,000.0 - £156,000.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Encodings, Databases, Continuous Integration, Information Retrieval, Python (Programming Language), PostgreSQL, Machine Learning, AI-enabled Products, Search Technologies, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Fastapi, AI Platforms, Kubernetes, Docker - **Published:** November 5, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-974C9D58A4286BE828/ ## About the Role This would suit somebody who sits between a traditional Senior Python Backend Engineer and AI Engineer. You should be comfortable building the underlying software around AI models rather than focusing purely on experimentation or data science. We are particularly interested in people who have taken LLM-based applications from concept through to a live production environment. This is a senior hands-on role, so you should be comfortable making technical decisions, solving complex engineering problems and working independently while collaborating closely with the wider technology team. ## Description You will work across the full engineering lifecycle, helping to design, develop and support AI-enabled products and Back End services., * Building production applications and services using Python * Developing solutions using LLMs and Generative AI * Creating RAG and semantic retrieval solutions over structured and unstructured information * Developing intelligent workflows using AI agents and orchestration frameworks * Building scalable Back End APIs using FastAPI * Implementing document processing, embedding and vector-search capabilities * Connecting AI services with existing applications, databases and data sources * Creating methods for testing and measuring the quality of AI-generated outputs * Containerising and deploying applications into modern cloud environments * Writing clean, maintainable and well-tested software * Working closely with product, engineering and business stakeholders to deliver solutions into production Technical Experience We are particularly interested in engineers with strong experience across: * Python, ideally within large-scale production environments * FastAPI, Pydantic and asynchronous Python * LLMs/Generative AI * RAG * AI agents/agentic systems * Embeddings and semantic search * Vector databases * PostgreSQL * Docker and Kubernetes * Modern CI/CD practices * API and microservice development * Automated testing and software engineering best practices