Copilot Agent Engineer

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 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 Nice to have ​ Azure OpenAI Specialisation Exposure to knowledge engineering or ontology design Additional cloud certifications Experience with evaluation tooling (LangSmith, TruLens, custom eval frameworks) Background in conversational orchestration or tool-calling architectures Benefits Solid, competitive salary Work in multinational environment on international projects Comprehensive healthcare Long-term B2B contract with stable project pipeline Fully remote model Originally posted on Himalayas