Senior Full-Stack Engineer, AI/Docs Platform

Datalab

New York (NY)

On-site

USD 225,000 - 300,000

Full time

12 days ago

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Benefits offered by this job

Equity 0.15-0.35%
In-person NYC

Job summary

Datalab is seeking a fullstack engineer to build interfaces, tools, and infrastructure for document understanding and OCR workflows. You will work across the stack to shape how users interact with our models and APIs, shipping features across open source repos, API, and internal tooling.

You’ll join a small, fast-moving team with ownership across backend, frontend, and performance surfaces, directly influencing how teams deploy our models for customers and builders globally.

Qualifications

  • 5+ years of fullstack development experience building APIs and/or developer-focused products.
  • Experience building in early-stage startup environments.
  • Shipped and maintained production systems serving high-volume traffic.
  • Experience building with LLMs and agentic workflows.

Responsibilities

  • Ship features to our open source repos, API, and internal tooling.
  • Design and build frontend features that make document parsing more interactive and understandable.
  • Optimize inference performance and improve the reliability of our frameworks.
  • Engage with the community on Github and Discord by collecting feedback, debugging issues, and identifying opportunities for improvement.
  • Support customer implementations with technical guidance and troubleshooting when needed.

Skills

5+ years fullstack development
Early-stage startup experience
Production systems
LLMs & agentic workflows

Job description

Datalab is seeking a fullstack engineer to build interfaces, tools, and infrastructure for document understanding and OCR workflows. You will work across the stack to shape how users interact with our models and APIs, shipping features across open source repos, API, and internal tooling.

You’ll join a small, fast-moving team with ownership across backend, frontend, and performance surfaces, directly influencing how teams deploy our models for customers and builders globally.

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