Applied AI Engineer

Building AI for engineers working on complex physical systems across industries such as aerospace, automotive, defense, robotics, energy, marine, mining, and heavy equipment.

The platform helps engineering teams understand and validate complex designs against technical, legal, regulatory, and customer requirements. Longer term, the vision is to enable AI-assisted and AI-generated engineering design.

The company is an early-stage, well-funded startup with a small founding engineering team and is hiring its fourth engineer.

The Role

This is a true 01 founding engineering role with significant ownership across product, architecture, AI systems, and customer deployments.

You’ll work directly with the founders and customers to determine what should be built, make foundational technical decisions, and ship software used in real engineering environments.

A major near-term focus is building systems that can model how complex physical products fit together across hardware, software, mechanical, electrical, fluidic, and thermal systems.

What You’ll Work On

• Build the core product and underlying technical architecture from the ground up
• Develop system-modeling capabilities that represent relationships across complex engineering systems
• Work with engineering, design, requirements, and technical data from real-world physical products
• Help scale a major active customer deployment supporting approximately 100 users
• Build AI-powered workflows around engineering requirements, validation, and technical decision-making
• Work directly with customers to understand their workflows and translate ambiguous problems into product capabilities
• Make architecture and product tradeoffs with founder-level ownership
• Build infrastructure needed to support enterprise and potentially on-premise deployments
• Help shape engineering culture, technical standards, and future hiring
• Potentially travel to work directly with customers
• Over time, help build and train customized models using customer engineering data