Applied AI Engineer (AI-Native ERP for Manufacturing)

An early-stage startup building an AI-native ERP platform for manufacturers is looking for an Applied AI Engineer to architect the orchestration layer that lets its software reason, act and collaborate with users in real time.

What you’ll do

• Build agentic workflows that keep track of state, propose actions and carry out multi-step tasks
• Connect models to tools, memory and retrieval across structured and unstructured data
• Design safeguards for sensitive data and graceful recovery from failed tools, missing information and uncertain model output
• Create evaluations that measure system quality and steer improvements
• Work with frontend and backend engineers to bring AI into everyday user workflows, balancing capability, latency and reliability

Profile

• 4 to 10 years of backend-leaning software engineering focused on putting AI into production
• Agentic LLM systems shipped to production, combining tool use, memory and autonomous reasoning
• Expert-level Python backend skills and experience building retrieval systems
• A track record of using evals to measurably improve AI quality, and of leading multi-quarter initiatives
• Bonus: ERP, manufacturing or defense tech background; FastAPI, GraphQL or AWS experience

Hybrid in Los Angeles or the San Francisco Bay Area. US citizenship or permanent residency is required due to export control (ITAR) rules.