--- title: 'AI/LLM Integration Engineer at Ironflow AI' canonical: 'https://feeny.ai/job/ai-llm-integration-engineer-ironflow-ai-san-diego-s6z93jk5vkm0' type: 'job' last_seen: '2026-09-13' --- # AI/LLM Integration Engineer at Ironflow AI - **Company:** Ironflow AI - **Location:** San Diego, CA - **Work type:** hybrid - **Posted:** 2025-06-05 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.lever.co/ironflow/d15c47ce-1c85-4a11-a827-71013653e53d ## Job description ## About Ironflow AI We are 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 not patching old ideas with a flashy new user interface. We’re starting fresh — reimagining how software supports operations at the cutting edge of the defense tech revolution. Built by veterans, engineers, and operators who’ve lived the pain of legacy systems. Ironflow combines natural language, intelligent agents, and real-world rigor to empower the frontline with clarity and speed. If you're bold, decisive, and obsessed with impact — join us. This is where curiosity meets purpose. ## 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 We value autonomy, urgency, and ownership. 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. ## About Ironflow AI ## Company Overview - **One-liner**: Ironflow AI provides Flow, an AI-native ERP platform designed as an AI copilot for advanced manufacturers in defense, aerospace, and technology to optimize planning, supply chain, and production. - **Entity Type**: Private (Venture-backed, early stage) - **Headquarters**: San Diego, California, United States - **Founded**: 2025 - **Founders**: Andrew Dimitruk (CEO), Jim Carlson (President/CTO) ## Core Business - **Primary industry/industries**: Enterprise Software, Defense Manufacturing, Aerospace, Industrial Automation - **Target customers**: B2B, Enterprise – advanced manufacturers, defense contractors, and aerospace companies - **Mission or purpose statement**: “Our mission is to forge intelligent tools that empower those building the future. We believe enterprise software should amplify human capability, not replace it.” [ironflow.ai](https://ironflow.ai/about) ## Products & Services - **[Flow]**: AI-native ERP platform – an AI copilot that surfaces risks, drives actions, and automates compliance, supply chain, and production workflows. Built from the ground up around AI agents that learn user workflows and adapt to the operation. [ironflow.ai](https://ironflow.ai/about) ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total Funding – Venture round raised in January 2025 (1 investor, amount undisclosed) [linkedin.com](https://linkedin.com/company/ironflow-ai) - **Notable Investors/Partners**: One venture investor (unidentified); founding team previously from Shield AI, a defense AI company. - **Growth Signals**: Headcount grew from 0 to 9 employees (1500% YoY) as of early 2026. Active hiring for multiple engineering roles. [linkedin.com](https://linkedin.com/company/ironflow-ai) | [builtin.com](https://builtin.com/company/ironflow-ai) ## Competitive Advantages - **AI-native from day one**: Not a bolt-on AI layer; the entire platform is built around AI agents that understand policies, workflows, and operations. - **Founder pedigree**: Team includes former Shield AI COO, General Counsel, and Marine Corps pilots – deep domain expertise in defense and manufacturing. - **Clean-slate approach**: Designed to replace legacy ERPs with a modern, operator-focused system for mission-critical hardware delivery. ## Strategic Focus - Current priorities: Build out the AI orchestration layer, multi-agent workflows, and real-time compliance/supply chain automation. Target GovCloud deployments and achieve security certifications (SOC2/CMMC/FedRAMP). Scale the engineering team and product-market fit within defense manufacturing. ## Why Work Here - **Culture**: People-first, mission-driven environment. Values include acting with urgency, adaptability, taking smart risks, and questioning assumptions. - **Work Policy**: Hybrid – employees work both remote and on-site in San Diego, CA (HQ also has a Solana Beach office). [builtin.com](https://builtin.com/company/ironflow-ai) - **Perks & Engineering Culture**: Focus on building with modern stack (Python, React, GraphQL, PostgreSQL, Docker, Kubernetes). Early-stage ownership and impact on critical national security missions. Roles include Full-Stack, AI/LLM Integration, Infrastructure, and Frontend engineering. [jobs.lever.co](https://jobs.lever.co/ironflow) ## Sources 1. [ironflow.ai](https://ironflow.ai/about) 2. [linkedin.com](https://linkedin.com/company/ironflow-ai) 3. [builtin.com](https://builtin.com/company/ironflow-ai) 4. [jobs.lever.co](https://jobs.lever.co/ironflow) ## Other roles at Ironflow AI - [Senior Software Engineer, Infrastructure](https://feeny.ai/job/senior-software-engineer-infrastructure-ironflow-ai-san-diego-9gxjy45rjsnr) — San Diego, CA - [Frontend Engineer](https://feeny.ai/job/frontend-engineer-ironflow-ai-san-diego-ec3ktd1ysmmj) — San Diego, CA - [Full-Stack Engineer (Backend-Focused)](https://feeny.ai/job/full-stack-engineer-backend-focused-ironflow-ai-san-diego-c9wtaaehcb67) — San Diego, CA