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Ironflow AI

AI-native ERP for defense manufacturing

AI/LLM Integration Engineer

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

About the Job

Requirements

  • At least 5 years of experience in Python and backend development.
  • Hands-on experience with large language model APIs, such as OpenAI and Anthropic, and orchestration frameworks.
  • Ability to design systems combining tool use, memory, and autonomous reasoning.
  • A track record of shipping prototypes that evolve into production.
  • Ability to build from scratch, work in ambiguity, and think in systems.

Responsibilities

  • Build the large language model 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, including retries, fallback logic, chained reasoning, and reactive flows.
  • Collaborate with frontend and backend teams to power natural-language-driven user interfaces.
  • Evaluate and integrate emerging frameworks for performance, safety, and extensibility.

Desired Qualifications

  • Familiarity with FastAPI, GraphQL, or backend enterprise resource planning workflows.

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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