Datalab is building the core infrastructure for how enterprises process and understand documents at scale. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our models - Chandra, Surya, Marker, and Lift - have significant adoption, with 60,000+ GitHub stars and broad developer mindshare. We’re backed by founding members of OpenAI, FAIR, and Hugging Face. We move fast, ship often, and we're hiring builders who do the same. We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API. This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders. As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how teams evaluate and deploy our models.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed