Role Summary:

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.

Key Responsibilities:

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

components, translate requirements into workflows, tools, and data needs, communicate solutions to technical and non-technical stakeholders
1. Agent Design & Development - Build agent workflows using LangChain and LangGraph, implement multiagent architectures (ReAct, supervisor models), optimize for latency, cost, and accuracy
2. RAG & Knowledge Systems - Design end-to-end RAG using Copilot, work with vector databases

(Pinecone, Qdrant, Weaviate, pgvector)
1. Memory Architecture - Implement short-term and long-term memory systems, optimize context handling

and continuity
1.



Enterprise Integration- Integrate agents via APIs, MCP, and enterprise systems,
2. M365 & Business Applications - Build agents using Copilot Studio, Power Automate, and Power Apps,

Integrate with Microsoft Graph, Teams, and SharePoint
1. 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
- Solid communication and product design sense
- UX awareness (plus)

Nice to Have

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

📌 Gen AI Engineer (3-5 years) (Chennai)
🏢 Antal International
📍 Chennai