Forward Deployed AI Engineer
As a Forward Deployed AI Engineer, you will guide customers in building scalable production applications with Adaptive Engine, focusing on maximizing business value and accelerating time to production. You will specialize large language models for deployment, build synthetic data pipelines, and identify production signals for continuous model improvement. This role involves direct customer engagement, experimentation with personalization pipelines, and collaboration with research staff to advance our product roadmap.
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialized models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimizing for both cost and performance across distributed systems.
Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we're already live in production with customers including Manulife, AT&T, Deloitte, across travel and financial services — with much more to be announced soon.
At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise customers effectively leverage these technologies—particularly through our Adaptive Engine product—to unlock maximum value.
As a Forward Deployed AI Engineer at Adaptive ML, you will help our customers build scalable production applications with Adaptive Engine. Our customers range from innovative scale-ups to global enterprises, and your role will be to guide them in maximizing business value while shortening time to production. We place tremendous importance on bridging the gap from proof-of-concept to production, as too many generative AI projects fail to demonstrate tangible ROI.
By leveraging state-of-the-art reinforcement learning technology, you will support the specialization of large language models for production deployment. You will build synthetic data pipelines to bootstrap models into production and identify signals that can be used in production to enable continuous model improvement using production feedback. We are looking for self-driven, business-minded, and ambitious individuals interested in supporting real-world deployments of a highly technical product. As this is an early role, you will have the opportunity to shape our research efforts and product as we grow.
This is an in-person role based at our Toronto or New York office.
Posted May 31, 2026