AI Engineer (3-5 years)

: Work directly with business and product teams to identify high-value problems and design, build, and deploy AI agents that solve real-world workflows. This role combines agent engineering, product thinking, and strong communication.

: 1. Business Problem Framing & Solution Design- Break down complex business problems into AI-solvable components, translate

into workflows, tools, and data needs, communicate solutions to technical and non-technical stakeholders 2. Agent Design & Development - Build agent workflows using LangChain and LangGraph, implement multi agent architectures (ReAct, supervisor models), optimize for latency, cost, and accuracy 3. RAG & Knowledge Systems - Design end-to-end RAG using Copilot, work with vector databases (Pinecone, Qdrant, Weaviate, pgvector) 4. Memory Architecture - Implement short-term and long-term memory systems, optimize context handling and continuity 5. Enterprise Integration- Integrate agents via APIs, MCP, and enterprise systems, 6. M365 & Business Applications - Build agents using Copilot Studio, Power Automate, and Power Apps, Integrate with Microsoft Graph, Teams, and SharePoint 7. UX & Product Thinking- Design usable and intuitive AI experiences. Core Skills: • Agent frameworks: LangChain, LangGraph • Multi-agent systems and architectures • RAG pipelines and vector databases • API integrations and enterprise systems • Observability and evaluation tools • Strong communication and product design sense • UX awareness

: • Experience with Copilot Studio and Power Platform • MCP, Skills knowledge • AI-assisted coding tools (Cursor, Claude) • Forward-deployed or solution engineering experience