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This is a remote position.
We are looking for a Copilot Agent Engineer to design the intelligence layer of an enterprise-grade AI assistant. The role focuses on shaping how the agent reasons, retrieves information, interprets intent, and operates across complex business workflows. This includes building structured reasoning frameworks, retrieval pipelines, evaluation layers, and ensuring enterprise-grade safety, auditability, and reliability.
Responsibilities
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
