AI/LLM Integration Engineer

Ironflow AISan DiegoJob.bopaskelbta 2025-06-05
Privaloma:PythonGraphQLFrontendBackendAILead

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.