AI/LLM Integration Engineer
ExpiredThis listing is older than 60 days and may no longer be accepting applications.
AI Infrastructure
About the Role
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
