AI Engineer

• Build and own the ML stack including data pipelines, infrastructure, and agent optimization
• Ship AI features into production and iterate based on real user usage
• Improve evaluation harnesses to measure product improvement
• Track research frontier and apply pragmatic solutions to production systems
• Own end-to-end ML systems without dedicated ML team support

About the Company Kanu AI is your organization’s AI coworker that deploys in your own cloud, continuously learns from your data, team intelligence, and outputs, and uses that knowledge to encode and maintain workflows that mirror how your people work. The Role We're hiring an AI engineer to own the AI systems at the heart of the product. You'll work directly with the founders and own the full loop: data, training, evaluations, and shipping into production. What You'll Do

• Build and own the ML stack—data pipelines, infrastructure, agent optimization, evaluations, tuning

• Ship AI features into production constantly and iterate against real usage

• Improve the evaluation harnesses that tell us whether the product is actually getting better

• Track the research frontier and apply it pragmatically—novelty only where it wins

What We're Looking For

• Evidence you've shipped ML that real users touched—in production, research, or serious projects

• Strong fundamentals across the stack, not just notebooks

• Pragmatism: you pick the boring approach that works over the clever one that might

• Comfort owning systems end to end with no ML team behind you

Compensation & Equity Early-stage compensation: a meaningful equity stake plus salary. Specifics depend on experience and location—we're happy to talk through the details early in the process.

Sourced from the a16z Speedrun talent network — apply on Speedrun.