Sr. AI Engineer

📋 Description

• Extend LangGraph orchestrators with typed state, conditional routing, subgraphs, checkpointing
• Choose among routing, orchestrator-worker, plan-and-execute, reflection, and multi-agent handoff
• Run agents headless—API- and MCP-first—across in-app, chat, workflow, and partner surfaces from one
• Maintain reusable components for state, memory, tool-calling, and agent-to-agent delegation with
• Evolve the APIs and tools agents use to read 6sense data and take action, for both human and LLM
• Tune tool design for agent success, including names, descriptions, schemas, response shapes, error

🎯 Requirements

• 5+ years of experience building and running production software, with strong distributed-systems
• 2+ years of experience building production LLM-based systems, including agents used by real
• Strong Python skills and production experience with LangGraph or an equivalent orchestration
• Experience designing APIs and tool interfaces for LLM callers, including schemas, descriptions
• Experience scaling an API or platform used by external customers or partners, including
• Production experience with retrieval and grounding, as well as writing and running LLM evaluations.

🎁 Benefits

• Health coverage
• Paid parental leave
• Generous paid time-off and holidays
• Quarterly self-care days off
• Stock options
• Equipment and support to work and connect with teams