About this role
The AI Engineer - Public Sector position at Unstructured Data Platform for GenAI is a remote opportunity for an autonomous professional who wants to build advanced generative AI systems for government and military clients. This role suits a systems-first engineer eager to bridge the gap between experimental research and scalable production-grade software.
Role Overview
This position sits on the Public Sector team to deliver high-impact solutions using cutting-edge artificial intelligence. Team members spend half their time building and shipping production RAG pipelines and agentic workflows using Python, thirty percent on research and experimentation with new models, and the remaining portion on technical strategy, documentation, and customer collaboration.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Unstructured Data Platform for GenAI is defining the standard for enterprise data transformation in the age of generative intelligence. Backed by major investors such as Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM, the open-source toolkit has been downloaded tens of millions of times. The organization builds the backbone of modern AI infrastructure by converting unstructured files into clean data pipelines that scale across commercial and federal sectors.
How to Apply
Visit the official company careers page at unstructured.io to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
Is this position remote?
Yes, this role is fully remote.
What programming languages are required?
Python is required at an expert level, along with SQL.
What benefits are provided?
Benefits include medical, dental, and vision coverage, 401(k) with company match, equity, unlimited PTO, flexible parental leave, a work from home stipend, and internet reimbursement.
Is a security clearance required?
A security clearance is not strictly mandatory, but an existing Secret or Top Secret clearance or eligibility is listed as a significant plus.
What kind of data will I be working with?
You will work with complex unstructured and multimodal data, including PDFs, scanned documents, images, audio, and full motion video.
