Lead Engineer – Agentic AI

About the role

These are not single-chatbot solutions: you will architect orchestrated teams of agents — planners, retrievers, domain specialists, action executors, and reviewer/critic agents — that coordinate, hand off, and share context to complete complex business workflows reliably.

What you'll do

• Architect multi-agent systems end-to-end : decompose business workflows into specialized agents (routing, retrieval, domain reasoning, action execution
• Design and build customer-facing voice + chat agent teams covering the full public website capability surface: inventory search and comparison
• Ground all agent responses in live business data with strict accuracy guarantees — no hallucinated prices, VINs
• Build internal multi-agent workflows that operate backend business platforms conversationally and autonomously: campaigns, lead management, offers, payments, reporting
• Expose business capabilities as MCP tools with role-based permissions, audit logging, and approval policies scaled to action risk (read vs. draft vs. send vs. pay)

What you need

• 8–14 yrs of experience
• Python
• LLMs
• SQL
• CI/CD
• Root cause analysis
• Kafka
• B.Sc or B.Tech or B.E. or BCA

Good to have

• AWS
• GCP
• IAM
• Azure
• Docker
• Kubernetes