
Adaptive ML helps enterprises improve and operationalize large language models by tuning them to business-specific goals and feedback. The Adaptive Engine uses reinforcement learning from human…

Adaptive ML helps enterprises improve and operationalize large language models by tuning them to business-specific goals and feedback. The Adaptive Engine uses reinforcement learning from human…
What they do: Enterprise RLOps platform (Adaptive Engine) for fine-tuning, serving, and evaluating specialized LLMs using RLHF, synthetic data, and AI judges
Founded: 2023
Headquarters / offices: New York and Paris
Recent funding: Raised $20M seed (lead: Index Ventures)
Target customers: Enterprises deploying RAG, Text-to-SQL, and customer support agents
Enterprise reinforcement learning operations (RLOps) and LLM fine-tuning/serving for specialized applications
2023
Technology, Information and Internet
20000000
Seed round with participation from ICONIQ Capital, Motier Ventures, Databricks Ventures, HuggingFund by Factorial and angel investors
“Index Ventures led the seed round; participation from ICONIQ Capital, Motier Ventures, Databricks Ventures, and other investors”
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About The Team 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 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 are already live in production with customers including Manulife, AT&T, and Deloitte across travel and financial services — with much more to be announced soon.
About The Role As a Backend Engineer on our Product Team, you will help transform our technology into exceptional products. Our products allow companies to build more singular generative AI experiences with deeper personalization through reinforcement learning. We prioritize product quality, with a bias for clarity, responsiveness, and robustness, achieved through attention to detail across frontend and backend systems.
You will own the database and data infrastructure layer of our product, collaborating closely with frontend and Technical Staff to implement new features and keep our systems reliable at scale. Challenges include designing high-availability PostgreSQL systems that handle heavy transactional workloads, and architecting ClickHouse pipelines for large-scale analytical queries — all in service of a product that demands both speed and correctness. We are looking for self-driven, ambitious individuals who combine strong backend engineering fundamentals with deep database expertise. As this is an early role, you will have the opportunity to shape our product team as we grow.
This is an in-person role based out of our Paris Office. Your responsibilities
Your (ideal) background
Benefits
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