AI Engineer

• Explore and preprocess raw, messy datasets; design labeling and data strategies where needed.
• Prototype model ideas, agentic/inference systems, prompt strategies, fine-tuning, and rigorous evaluations of hypotheses.
• Translate prototypes into production: build RESTful APIs, containerize applications (Docker), and deploy reliably.
• Monitor production performance, run ablation studies, and iterate with product, UX, and data teams to improve impact.
• Identify and investigate key open questions — why are these clusters meaningful, what decisions do they drive? — and craft well-reasoned solutions.
• Tackle ambiguous problems with curiosity, initiative, and a strong sense of ownership.
• Collaborate with cross-functional teams (Product, Design, DevOps, and UI) to turn ideas into shipped, impactful features.

Senior AI Engineer – Horizons product

Product AI Engineering Lead

AI Engineer

Lead AI Engineer

AI Engineer