Job Description:

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