Lead AI Engineer

Drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing the loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models.

You will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work. You are an engineer who ensures the AI is delivered on reliable, production-grade rails. Lead the transition from zero-shot implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models to optimize user outcomes based on real feedback. You are willing to jump into the frontend to implement features or debug an integration. You understand that an algorithm isn’t done until the user interacts with it successfully. Mentor and Lead the team on AI concepts and best practices. Help Product and Leadership navigate the map of what’s valuable and what’s possible.