Saris provides agentic workflow automation for banks and credit unions that automates manual, high-volume tasks across lending, compliance, and operations.
ABOUT SARIS AI We're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers. We’ve shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we’re scaling up fast and looking for deeply technical builders who want to have outsized impact early. Our core engineering team is looking for a hands-on ML Engineering Lead who thrives in early-stage, ambiguous environments. You’ve led ML systems from v1 to scale, and enjoy defining both the technical direction and the systems that power them. YOUR MISSION IS TO - Own and lead the ML/AI function end-to-end, setting technical direction and standards across the company - Architect and guide the development of multi-modal, agentic AI systems powering real-world workflows - Define and oversee evaluation frameworks, datasets, and performance metrics to continuously improve agent quality - Drive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments - Build and mentor a high-performing ML team over time, setting best practices across modeling, experimentation, and deployment WHO YOU ARE - 8+ years of experience in ML/AI engineering, including time as a technical lead or manager - Proven track record of leading ML initiatives end-to-end, from problem definition → production deployment - Deep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications - Strong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs) - Experience scaling ML systems in production, including monitoring, iteration, and reliability - Demonstrated ability to lead engineers, influence architecture decisions, and drive technical direction - Comfortable operating in early-stage, ambiguous environments with high ownership - Strong communication skills with the ability to translate complex ML concepts into clear decisions BONUS POINTS IF YOU - Have experience building agentic systems, orchestration layers, or long-context reasoning systems - Are comfortable across the stack (data → modeling → infra → APIs) - Have worked with both open-source and closed LLMs, including fine-tuning or retrieval systems (RAG) - Have a strong product mindset and care deeply about real-world impact, not just model performance WHY 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. - 💲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