--- title: 'Full-Stack Engineer (Backend-Focused) at Ironflow AI' canonical: 'https://feeny.ai/job/full-stack-engineer-backend-focused-ironflow-ai-san-diego-c9wtaaehcb67' type: 'job' last_seen: '2026-09-07' --- # Full-Stack Engineer (Backend-Focused) at Ironflow AI - **Company:** Ironflow AI - **Location:** San Diego, CA - **Work type:** hybrid - **Posted:** 2025-06-05 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/ironflow/84531a70-8ef2-4c9b-ba19-863cfb606b82 ## 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 As a backend engineer, you’ll help shape the core logic that powers real-time, intelligent workflows across manufacturing, inventory, and supply chain. Your work will unlock faster decisions, tighter coordination, and adaptive operations for the people driving the defense tech revolution. ## What You’ll Own - Architecting and implementing backend services in Python with PostgreSQL - Designing and exposing GraphQL APIs to support AI agents and real-time frontends - Building secure, scalable models for production, procurement, and inventory - Optimizing database performance and ensuring system reliability at scale - Contributing to CI/CD pipelines, Docker-based environments, and deployment workflows - Enabling real-time orchestration across human and AI agents ## What You Bring - 5+ years of backend or full-stack experience with production systems - Mastery of Python, FastAPI, PostgreSQL, and GraphQL - Experience designing modern APIs with GraphQL - A track record of owning features end to end — from design to deployment - Comfort with ambiguity, fast iteration, and cross-disciplinary problem-solving - Bonus: Familiarity with FedRAMP, ITAR/DFARS, and secure multi-tenant architectures - Bonus: Experience with WebSockets, real-time systems, and frontend debugging in React ## 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 - [AI/LLM Integration Engineer](https://feeny.ai/job/ai-llm-integration-engineer-ironflow-ai-san-diego-s6z93jk5vkm0) — San Diego, CA - [Frontend Engineer](https://feeny.ai/job/frontend-engineer-ironflow-ai-san-diego-ec3ktd1ysmmj) — San Diego, CA