Head of AI Engineering

📋 Description

• Define and own the technical roadmap for the AI Marketplace and AI services.
• Bridge Loft Labs research outputs and production-grade service delivery.
• Hire and lead AI services engineers (initially 2-3, grow to 5-7).
• Set architecture standards for ML model deployment, inference pipelines, and edge compute.
• Collaborate with partners to integrate third-party AI models into the platform.
• Define sandbox, testing, and certification pipelines leveraging TestBench/SEAL.

🎯 Requirements

• 7-15 years of hands-on engineering experience building ML/AI systems.
• Track record shipping production ML systems, not just prototypes.
• Experience building and managing engineering teams (3-10 people).
• Strong opinions on ML infrastructure, model serving, and deployment pipelines.
• Comfortable across stack: model optimization, API design, infra, and leadership.
• Direct, low-ego communication; explain reasoning and adapt with evidence.

🎁 Benefits

• Equity; active role in Loft’s success.
• Up to 35 days of PTO and flexible hours.
• Health and life insurance.
• Cross-office travel between SF, CO, and Toulouse.
• Company and team off-sites and events.
• Relocation assistance to Toulouse when applicable.