Applied AI Engineer at General Matter in Los Angeles, CA

Summary: General Matter is a company focused on enriching uranium in America to support critical industries, including AI and manufacturing. The Applied AI Engineer will work with engineering teams to accelerate workflows by identifying bottlenecks and developing AI tools to enhance efficiency in engineering processes. Responsibilities: - Building AI tooling so that every engineer can run complex safety and physics analyses before design reviews, without waiting on a specialist - Automating legacy simulation workflows so engineers can run neutronics with a config file instead of learning decades-old codes from scratch - Integrating with internal tools- tickets, design-tree, file management- and building agents that handle triage, routing, and prioritization automatically Required Qualifications: - BS or higher in engineering, physics, chemistry, applied math, or related technical field - Proficiency in Python and software engineering fundamentals - Experience building tools or workflows using LLMs, AI agents, or modern AI techniques - Ability to work extended hours and weekends as necessary Preferred Qualifications: - Engineer who codes. You studied a hard STEM field: physics, chemistry, mechanical, electrical, nuclear, math. You can follow a technical conversation with a domain expert and know which parts of their workflow are automatable before they do. You write clean, production-grade Python - Versatile engineering fundamentals. This role requires mastering many different fields quickly: neutronics, integrated safety, data, manufacturing. You don't need to be the expert. You need to get fluent enough, fast enough, to build something useful - AI fluency. You genuinely enjoy using AI to solve problems — RAG, tool-use architectures. You're constantly thinking about how to apply AI to reinvent or restructure existing workflows - Ships proactively. You don't wait for a spec, a roadmap, or permission. You see the bottleneck, propose the approach, and show off prototypes before you're asked Required Skills: Python, Software engineering fundamentals, LLMs, AI agents, Modern AI techniques, Physics, Chemistry, Applied mathematics, Neutronics, Integrated safety analysis, Manufacturing, RAG, Tool-use architectures, Proactive work ethic Benefits: Long-term incentives, in the form of stock options, Access to medical, vision & dental coverage, Access to a 401(k) retirement plan