We’re looking to hire a Software Engineering Intern who is highly technical, curious, and already comfortable building software in an AI-native development environment.
The person will work directly on our production software stack, including our ERP/MES platform, infrastructure, internal tools, and emerging AI/agent systems. They may build product features, integrations, AI-driven workflows, developer tooling, agent harnesses, reusable skills, evaluation systems, and tools that help LLMs effectively interact with our codebase, data, and manufacturing systems.
We care significantly more about what someone has actually built and how they think than their exact degree, GPA, or number of years of experience.
Must-haves- Hands-on experience with modern AI coding tools such as Claude Code, Codex, Cursor, or similar
- Strong practical understanding of LLMs and how to build effectively with them
- Experience building real software projects outside of basic coursework
- Comfortable with Git, APIs, databases, and modern software development practices
- Currently enrolled in or recently completed a software engineering, computer science, or related technical program
- Eligible to work in the United States
- Strong programming ability, ideally in Python and/or TypeScript/JavaScript
- Has built their own agents, skills, tools, or AI development harnesses
- Understands context management and how to give models the right information at the right time
- Has experimented with multi-agent or agentic coding workflows
- Has built evaluations or testing systems for LLM-powered applications
- Experience with RAG, knowledge graphs, embeddings, or semantic retrieval
- Experience with cloud infrastructure, containers, data engineering, computer vision, robotics, or manufacturing systems
- Strong GitHub, personal project, hackathon, or open-source portfolio
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