# AI Engineer - Public Sector at Unstructured

- Company: Unstructured
- What the company does: Transform complex, unstructured data into clean, AI-ready inputs. Connect to any source, process 64+ file types, and power your GenAI projects. Start now. Backed by Madrona and Menlo.
- Company website: https://unstructured.io/
- Type: Startups (AI role)
- Level: Mid level
- Location: Remote
- Work setup: Remote
- Posted: 2026-04-30
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/unstructured/9df95483-7177-4f98-850e-4abbdf530434
- Page: https://www.1752.vc/careers/jobs/unstructured-ai-engineer-public-sector/

## About the role

You won’t just be building notebook demos; you will be architecting, prototyping, and shipping novel multimodal data processing, RAG, and agentic systems that solve critical problems for Government and Military clients. Your work will bridge the gap between one-off custom builds and a repeatable, scalable product roadmap. You will be a high-agency individual contributor, owning the lifecycle of AI solutions from initial research to AWS deployment.

## What they're looking for

- We are looking for a self-directed engineer who excels in high-stakes, ambiguous environments. You are likely a strong fit if your professional background reflects the following:
- Technical Resourcefulness: Y ou are comfortable working in restricted or air-gapped environments. When commercial APIs aren’t an option, you have the expertise to deploy, fine-tune, and optimize open-source models to achieve the mission objective
- A "Generalist" Mindset: While you specialize in AI, you understand the full stack. You are as comfortable discussing embedding strategies as you are configuring AWS GovCloud infrastructure or debugging a FastAPI endpoint
- Proven experience deploying Production RAG pipelines against real-world, messy datasets
- Deep expertise in Agentic system design (tool-use, multi-agent orchestration)
- Strong Python engineering skills—writing clean, scalable, and maintainable code

Tags: Public Sector
