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Ironflow AI

AI-native ERP for defense manufacturing

Full-Stack Engineer - Backend-Focused

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USANo salary listed

About the Job

Requirements

  • At least 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.

Responsibilities

  • Architect and implement backend services in Python with PostgreSQL.
  • Design and expose GraphQL APIs to support artificial intelligence agents and real-time frontends.
  • Build secure, scalable models for production, procurement, and inventory.
  • Optimize database performance and ensure system reliability at scale.
  • Contribute to continuous integration and continuous delivery pipelines, Docker-based environments, and deployment workflows.
  • Enable real-time orchestration across human and artificial intelligence agents.

Desired Qualifications

  • Familiarity with FedRAMP, ITAR/DFARS, and secure multi-tenant architectures.
  • Experience with WebSockets, real-time systems, and frontend debugging in React.

About the Company

Ironflow AI

AI-native ERP for defense manufacturing

Ironflow AI offers Flow, an AI-native ERP tailored for defense technology, aerospace, energy, and other regulated manufacturing. It uses a live decision system that combines structured operations data, AI reasoning, and workflow automation to analyze in real time, identify exceptions, and automatically carry out actions. AI agents interpret user intents, letting users specify desired outcomes and have agents execute them, with modular production, supply chain, and inventory management and plans to add finance, project accounting, and compliance. The platform runs in secure US-based, FedRAMP- and ITAR-aligned cloud environments, distinguishing itself from legacy ERPs by focusing on real-time AI-driven decision making and compliance for high-assurance industries, with the goal of providing proactive insights and rapid iteration across manufacturing and supply chain processes while expanding to end-to-end capabilities.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
2025

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