Senior AI Engineer

The Role

This role will have a significant impact on delivering innovative solutions for one of the leading retailers in the UK, driving digital transformation and enhancing customer experiences. You’ll work on projects that leverage cutting-edge technologies such as microservices, event-driven architectures, and cloud platforms, contributing to scalable, secure, and high-performing systems.

Your 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

Your Profile

Key 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
• Productionised AI solution

Must have Technology skills:

• Azure OpenAI
• Azure AI Foundry
• Semantic Kernel
• LangGraph
• MCP
• Azure AI Search
• Event-driven architectures
• Strong proficiency in Python
• Data & Vector Stores: Knowledge of vector databases, embeddings, semantic search and relational/NoSQL databases
• Software Engineering: REST APIs, Docker, Kubernetes, MLOps/LLMOps