Software Engineer - AI Engineering

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Meet our software engineers! Meet some of our software engineers who are shaping the future [... source excerpt omitted ...] uilding the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily. This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers. At Applied Intuition, you will: Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings. Partner with product teams to identify the highest-leverage AI use cases and take them from id [... source excerpt omitted ...] best practices for architecture, safety, evaluation, and deployment. Design, build, and ship agentic systems such as background coding agents, AI SRE tooling Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers. We're looking for someone who has: A Bachelor's degree in Computer Science, Software Engineering, or equivalent 2+ years of experience building and deploying AI/ML-powered features & products Hands-on proficiency working with LLMs and agentic architectures. Strong software engineering fundamentals and a bias toward shipping production-quality code qui