Saris AI - Senior ML Engineer

• 4+ years of experience in ML or AI engineering, with a track record of shipping production ML systems • Strong hands-on expertise with LLMs, prompt engineering, evals, and model routing • Experience building tooling and systems that have real customer impact • Pragmatic about tradeoffs: knows when good enough is the right call and avoids over-engineering; would rather ship something useful today than design something perfect next quarter • Comfortable working with moderate direction in ambiguous environments, you can take a scoped problem, work through it, and deliver a shipped solution • Builds with the end user in mind; understands how ML decisions impact real customers and prioritizes customer value over technical elegance • Elevates teammates through code review, pairing, and clear communication about technical decisions • Have worked in regulated industries (fintech, banking, healthcare) where compliance and reliability are first-class concerns • Have experience with RAG systems, fine-tuning, or open-source LLM deployment alongside closed models • Are comfortable across the stack, data pipelines through APIs, and can plug gaps where needed • Have used or built prompt management or ML observability tooling