AI/LLM Integration Engineer

About Ironflow AI

Ironflow is building the world's first AI-native ERP for defense tech — a system that thinks, reasons, and acts alongside the people who build, protect, and defend our way of life. We're starting fresh — reimagining how software supports operations at the cutting edge of the defense tech revolution. Ironflow combines natural language, intelligent agents, and real-world rigor to empower the frontline with clarity and speed.

Why This Role Matters

The AI layer is the beating heart of Ironflow. As our AI/LLM engineer, you won't just write prompts — you'll define how the system thinks. You'll architect the orchestration layer that enables streaming chat, multi-agent coordination, and backend execution across ERP workflows. Your work will determine how our software reasons, adapts, and collaborates with users — at scale, and in real time.

What You'll Own:

• Build the LLM orchestration layer using multi-agent frameworks
• Design agentic workflows that track state, propose actions, and complete multi-step tasks
• Create structured prompting systems with function-calling, memory, and safety constraints
• Prototype agent behavior: retries, fallback logic, chained reasoning, reactive flows
• Collaborate with frontend and backend teams to power natural language-driven UIs
• Evaluate and integrate emerging frameworks for performance, safety, and extensibility

What You Bring:

• 5+ years of experience in Python and backend development
• Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration frameworks
• Proven ability to design systems that combine tool use, memory, and autonomous reasoning
• Bonus: Familiarity with FastAPI, GraphQL, or backend ERP workflows