Copilot Agent Engineer

• Design advanced prompt architectures and behavioural frameworks for Copilot
• Build persona logic, agent roles, and structured conversational flows
• Develop retrieval pipelines integrating Data Lake, Knowledge Graphs and internal APIs
• Implement enterprise-grade RAG patterns with strong factual grounding and compliance
• Create evaluation chains, deterministic rules and quality gates for sensitive workflows
• Optimise agent outputs for accuracy, reliability, explainability, and traceability
• Translate business policies and workflows into structured agent behaviour
• Collaborate with engineering, platform, data, and business teams across workstreams
• Ensure the Copilot meets strict audit, governance, and safety requirements
• Build agent logic and orchestration flows using Python or TypeScript

Requirements

• 4–6 years of experience in AI or backend engineering
• Hands-on experience building LLM-powered agents (RAG, prompt engineering, orchestration)
• Strong understanding of vector search, chunking strategies, embeddings and context optimisation
• Ability to convert business logic into deterministic rules and reasoning structures
• Experience with Copilot Studio, LangChain, Semantic Kernel or similar agent frameworks
• Familiarity with prompt lifecycle management and output evaluation
• Experience working in regulated environments where accuracy and compliance are critical
• Strong technical experience with:

• Azure OpenAI / GPT models
• Vector databases (Pinecone, Weaviate, Chroma, Azure Cognitive Search)
• Knowledge graphs and structured domain modelling
• API orchestration and messaging layers

• Proficiency in Python or TypeScript
• Certifications such as:

• Microsoft Azure AI Engineer / Azure Data Fundamentals
• Generative AI or Applied AI Engineering foundations