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Ironflow AI

AI/LLM Integration Engineer

Reposted 2 Months Ago
Hybrid
San Diego, CA
Senior level
Hybrid
San Diego, CA
Senior level
Design and build the LLM orchestration layer and multi-agent workflows that enable streaming chat, tool use, memory, function-calling, and autonomous reasoning; prototype agent behaviors; integrate LLMs with frontend/backend systems; evaluate frameworks for performance, safety, and extensibility.
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About Ironflow AI
 
About Ironflow AI

Our mission is simple: to build software to help people build extraordinary things.

We are building an AI-native ERP for aerospace, defense, and advanced manufacturing. Purchasing, inventory, planning, manufacturing, finance, and accounting: the core systems that determine whether companies can actually build and deliver.

Much of the industrial base still runs on software architectures designed decades ago. We think that is now a strategic problem.

Our mission is bigger than better software. If the United States and its allies need to build more ships, aircraft, missiles, drones, engines, satellites, and everything behind them, the companies doing that work need radically better systems.

We are building Ironflow around five values that define how we work: hard work, excellence, kindness, creativity, and teamwork. We put in the effort and follow through. We take pride in our work and keep raising the bar. We treat people with care and respect. We explore possibilities and find better ways. And we help each other succeed while taking responsibility for the shared outcome.

We are veterans, engineers, and operators who have lived the limitations of legacy systems firsthand. We are building the software we wish existed.


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
  • Bias for action and a track record of shipping prototypes that evolve into production
  • Entrepreneurial spirit — you thrive in ambiguity, build from scratch, and think in systems

How We Work
Everyone at Ironflow moves fast, solves real problems, and holds a high bar for craft. We expect you to lead, not just follow, and to build systems that stand up to real-world complexity while staying clean and maintainable.

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