Saris AI

Machine Learning Engineer

• Build and own the ML infrastructure that makes our AI systems reliable and improvable, including eval frameworks, prompt management, and model observability
• Ship customer-facing AI features on a consistent cadence, balancing new capability delivery with foundational infrastructure work
• Define and implement the team's approach to evals, LLM routing, prompt engineering, and model selection
• Build pragmatic standards that improve quality without slowing the team down
• Contribute to ML technical direction by proactively surfacing trade-offs and architectural options, helping the team make informed decisions on where ML is headed.

Senior ML Engineer

Engineering Manager

• Lead a product engineering team building AI-native financial infrastructure for banks and credit unions
• Own delivery, engineering quality, and the operating cadence for your team
• Scale the team by hiring, onboarding, and ramping engineers to achieve a consistently high
• Develop engineers through regular coaching, direct feedback, and individualized growth plans that help people level up and take on bigger roles
• Partner with Product, ML, and executive leadership on technical strategy and roadmap
• Establish engineering management best practices across sprint rituals, release processes, and incident response that the org can build on as it scales