Lead AI Engineer

Geodd is hiring a Lead AI Engineer to design, build, and ship AI features for its inference platform. The role owns AI features from design through production operation, evaluates models and serving configurations, instruments features for diagnosis and reliability, and guides engineers through technical decisions and reviews.

Responsibilities:

• Own AI features from the first design decision through launch and operation in production
• Choose the simplest approach that meets the product need, whether that’s application code, a model call, or an agent workflow
• Evaluate models and serving configurations against representative workloads. Define what has to pass before a change ships
• Instrument AI features so the team can diagnose poor outputs, slow requests, and rising costs. Design fallbacks for predictable failures
• Guide engineers through design and code reviews, mentor them, and make technical tradeoffs clear to the product team

Requirements:

• Experience shipping and operating an AI or ML feature that real customers use
• Strong Python and backend engineering skills, including API design, testing, and debugging
• Experience evaluating models or AI workflows and using the results to make engineering decisions
• A track record of leading technical work, breaking it into deliverable milestones, and helping other engineers do their best work
• Experience serving open-weight models, profiling inference performance, or working with GPU infrastructure