Key Responsibilities
- Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution
- Build scalable AI microservices and applications using Python as the core development language
- Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies
- Implement orchestration pipelines using LangGraph for multi-agent workflows
- Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks
- Design memory, state management, and context-aware agent behaviours
- Optimise performance, cost, and latency of LLM-based solutions
- Support production deployments, troubleshooting, and responsible AI practices
What You Will Ideally Bring
- Strong Python development skills with hands-on LangGraph coding experience - candidates should expect a technical coding assessment as part of the interview process
- Deep hands-on experience with Azure OpenAI, Azure AI Foundry, and Azure AI Search
- Proven experience implementing multi-agent and RAG architectures
- Experience with MCP (Model Context Protocol) and event-driven architectures
- Knowledge of vector databases, embeddings, and semantic search
- Experience with REST APIs, Docker, Kubernetes, and MLOps/LLMOps practices
- Ability to define AI governance patterns and embed responsible AI principles into production solutions
Contract Details
- Duration: 12 months initial
- Rate: £500 per day
- Determination: Inside IR35
- Location: London(Hybrid)
Rate:
£500/day
Location:
London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
AI & Machine Learning
Seniority Level:
Senior