Founding Engineer - Applied AI

About the role

We're hiring a world-class Applied AI Engineer to build the core systems behind our automation engine for hardware engineering. You will design, implement, and post-train AI agents that power critical product development workflows for global enterprise customers, working on novel AI systems that retrieve, interpret, and manipulate complex engineering design data, integrating deeply into real-world engineering environments.

Responsibilities

• Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training

• Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems

• Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments

• Prototype rapidly, validate ideas with real users, and ship frequently

• Influence engineering culture, architecture decisions, and the future of the product

Requirements

• Must-have:

  • Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience
  • Strong familiarity with LLM architectures and agent research trends
  • Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&B
  • Solid practical experience with search and information retrieval
  • Moves fast from idea to production, with a genuine care for customer experience

• Nice-to-have:

  • 2+ years in applied machine learning, backend engineering, or AI infrastructure
  • Experience working with machine learning over geometric data, including CAD
  • Track record of high-impact contributions or published papers at top-tier AI labs or teams

Qualifications

• Must have a Bachelor's or higher degree in Computer Science, Machine Learning, or a related field
• Experience with LLM architectures and agent research trends
• Strong programming skills with experience using ML libraries like PyTorch, Hugging Face, and W&B
• Practical experience with search and information retrieval
• Ability to move quickly from concept to production, prioritizing customer experience

Skills

• Expertise in LLM architectures and agent research trends
• Strong programming skills with experience using ML libraries like PyTorch, Hugging Face, and W&B
• Experience with search and information retrieval
• Ability to prototype, validate, and ship ideas quickly

Benefits & Perks

• Unlimited PTO
• Full health insurance
• Free lunch and dinner
• Company-provided equipment