Senior AI Engineer
Role/Job title: Senior AI Engineer
Work Location: London
Type work: Contract
Mode of work: Hybrid
JD:
Responsibilities:
Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution
Build scalable AI 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 Semantic Kernel and 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 behaviors
Optimize performance, cost, and latency of LLM-based solutions
Collaborate with solution architects, product teams, and stakeholders to translate business use cases into AI solutions
Ensure governance, security, and responsible AI practices are embedded into solutions
Responsibilities
- Design agent architectures
- Define orchestration patterns
- Design tool strategy and integration approach
- Lead implementation of AI services
- Establish coding standards and best practices
- Guide evaluation and safety approaches
- Support production deployments and troubleshooting
Hands-on Skills Required
- Design multi-agent solutions
- Design RAG architecture
- Implement complex orchestration workflows
- Build scalable AI microservices
- Define AI governance patterns
- Troubleshoot production AI solutions
Technologies
- Azure OpenAI
- Azure AI Foundry
- Semantic Kernel
- LangGraph
- MCP
- Azure AI Search
- Event-driven architectures