Copilot Agent Engineer
New
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4–6 years
- Required Skills
- PythonTypeScriptPrompt EngineeringLLMLangChain
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
- Technical experience with Azure OpenAI / GPT models
- Technical experience with vector databases (Pinecone, Weaviate, Chroma, Azure Cognitive Search)
- Technical experience with knowledge graphs and structured domain modelling
- Proficiency in Python or TypeScript
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
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