Sr. AI Engineer

About the role

This role takes them further by building more capable agents, strengthening the API and tool layer, and creating an ecosystem that external agents, clients, and partners can connect to. You'll work across the full journey from a customer's agent to 6sense data and actions—including APIs, tools, MCP, orchestration, context, evaluation, and security.

What you'll do

• Extend LangGraph orchestrators with typed state, conditional routing, subgraphs, checkpointing, durable execution, and human-in-the-loop steps
• Choose among routing, orchestrator-worker, plan-and-execute, reflection, and multi-agent handoff patterns based on the problem
• Run agents headless—API- and MCP-first—across in-app, chat, workflow, and partner surfaces from one shared core
• Maintain reusable components for state, memory, tool-calling, and agent-to-agent delegation with scoped permissions
• Tune tool design for agent success, including names, descriptions, schemas, response shapes, error messages, and token-efficient outputs

What you need

• 5–9 yrs of experience
• Python
• LLMs
• Incident response
• B.Sc or B.Tech or B.E. or BCA

Good to have

• AWS
• Kafka
• Snowflake
• Databricks
• Spark
• CRM