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 robust communication.

Key Responsibilities:
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
Agent Design & Development - Build agent workflows using LangChain and LangGraph, implement multiagent architectures (ReAct, supervisor models), optimize for latency, cost, and accuracy
RAG & Knowledge Systems - Design end-to-end RAG using Copilot, work with vector databases

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

and continuity




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

Integrate with Microsoft Graph, Teams, and SharePoint
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