Lead AI Engineer

📋 Description

• Build and extend eval pipeline to measure task completion and fix failures.
• Work on context management: what the agent sees and token usage.
• Design sub-agent patterns: fan out, compose agents, keep parent in control.
• Own document parsing: convert invoices, catalogs, contracts to structured context.
• Wrap Coupa supplier APIs as agent-callable CLI tools with sensible defaults.
• Ship supplier-facing skills on top of the harness for end-to-end tasks.

🎯 Requirements

• 3–5 years shipping production software; strong Python.
• Shipped at least one LLM-powered feature; discuss outcomes.
• Daily user of agentic coding tools: Claude Code, Cursor, Codex.
• Have side projects finished; driven by AI tooling.
• Write and speak English fluently; team operates in English.
• Debug by logs, traces, and evals before theorizing.

🎁 Benefits

• Pioneering Technology: leverage latest tech in spend management.
• Collaborative Culture: transparency, openness, excellence.
• Global Impact: work with clients worldwide.