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About Saris AIWe're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration, and agentic decision-making in an industry where reliability and compliance aren't optional.We've shipped real agents that handle real customer workflows in production. With a growing customer base and strong revenue traction, we're expanding our engineering team to scale what we've built and push further into what's possible.Our core engineering team is looking for a Senior ML Engineer who thrives in early-stage, ambiguous environments.Your mission is toBuild and own the ML infrastructure that makes our AI systems reliable and improvable, including eval frameworks, prompt management, and model observabilityShip customer-facing AI features on a consistent cadence, balancing new capability delivery with foundational infrastructure workDefine and implement the team's approach to evals, LLM routing, prompt engineering, and model selectionBuild pragmatic standards that improve quality without slowing the team downContribute to ML technical direction by proactively surfacing trade-offs and architectural options, helping the team make informed decisions on where ML is headedWho You Are4+ years of experience in ML or AI engineering, with a track record of shipping production ML systemsStrong hands-on expertise with LLMs, prompt engineering, evals, and model routingExperience building tooling and systems that have real customer impactPragmatic 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 quarterComfortable working with moderate direction in ambiguous environments, you can take a scoped problem, work through it, and deliver a shipped solutionBuilds with the end user in mind; understands how ML decisions impact real customers and prioritizes customer value over technical eleganceElevates teammates through code review, pairing, and clear communication about technical decisionsBonus Points If YouHave worked in regulated industries (fintech, banking, healthcare) where compliance and reliability are first-class concernsHave experience with RAG systems, fine-tuning, or open-source LLM deployment alongside closed modelsAre comfortable across the stack, data pipelines through APIs, and can plug gaps where neededHave used or built prompt management or ML observability toolingWhy Join Saris AI?🏦 Join us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.⚡ Tackle ambiguous technical challenges with no clear answers — you'll define the ML playbook, not inherit one.💲 Competitive compensation with premium benefits and equity package.🤝 Work with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).📈 We already have production agents live with revenue-generating customers.🔥 Our team is backed by Tier 1 Silicon Valley VCs.
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