Tech Lead- Agentic AI, Python, Azure
AI Tech Lead (Python | Azure | LLM/Agentic Systems)
Contract- Hybrid, UK (One day per month in the London office)
We're looking for a strong AI Tech Lead with Python engineering with proven experience building production-grade systems on Azure, alongside hands-on exposure to modern AI and agentic architectures.
This role is focused on designing and delivering scalable AI-enabled services, working across LLM orchestration, tool integration and real-world deployment in cloud environments.
Key Responsibilities
- Design and build robust Back End services using Python
- Develop and deploy applications on Azure (AKS, Functions, App Service or similar)
- Build and optimise AI/agentic systems, including:
- LLM orchestration workflows
- Retrieval Augmented Generation (RAG) pipelines
- Tool usage/agent frameworks
- Evaluation and performance tuning of models
- Work closely with product and engineering teams to translate requirements into scalable solutions
- Ensure high standards of code quality, testing and performance in production systems
Required Experience
- Strong hands-on Python development experience (production systems)
- Proven experience deploying and managing applications on Azure
- Experience with containerisation and/or orchestration (eg Kubernetes/AKS)
- Practical experience building AI-driven solutions in production
- Strong understanding of:
- LLM ecosystems (eg OpenAI, OSS models)
- RAG architectures
- Agent frameworks/tool integration
- Experience designing scalable, reliable cloud-native systems
Desirable
- Experience with MLOps/model life cycle management
- Familiarity with frameworks such as LangChain, LangGraph or similar
- Exposure to CI/CD pipelines and infrastructure as code
Overview
- High-impact role working on cutting-edge AI systems
- Strong engineering focus - not just experimentation, but production delivery
- Opportunity to shape architecture and design decisions
GCS is acting as an Employment Business in relation to this vacancy.