AI Engineer - Public Sector
Job Description
Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM. Our open-source toolkit has been downloaded 83M+ times and is used by 90% of the Fortune 1000. We power production AI workflows across commercial and federal sectors — transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale. We're not just building tools, we're building the backbone of generative AI and the infrastructure that unlocks intelligence across industries. THE MISSION At Unstructured, we are obsessed with transforming messy, unstructured data into a format that LLMs can actually use. Our Public Sector team has recently secured several high-impact contracts that demand more than just "off-the-shelf" solutions. We are looking for an AI Engineer who thrives at the intersection of R&D and production-grade software engineering. 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. WHAT YOU'LL OWN & DRIVE - You will be a high-agency individual contributor, owning the lifecycle of AI solutions from initial research to AWS deployment.
- 50% Building & Shipping: Design and implement production-grade RAG pipelines and agentic workflows using Python.
- 30% Research & Experimentation: Stay at the bleeding edge. You’ll evaluate new models (LLMs, embedding models, object detection), prototype approaches for SBIR/government deliverables, and run experiments to prove what actually works.
- 20% Strategy & Collaboration: Partner with the team to document architectures, contribute to technical reports for contract deliverables, and participate in pre-sales calls to architect solutions for complex client needs.
- Technical Resourcefulness: You are comfortable working in restricted or air-gapped environments.
- Autonomous Problem Solving: You can take a high-level government requirement and translate it into a technical roadmap. You don't require constant oversight to identify the right tool for a job, whether it’s a specific vector database or a custom multimodal pipeline.
- A "Generalist" Mindset: While you specialize in AI, you understand the full stack.
- Deep expertise in Agentic system design (tool-use, multi-agent orchestration).
- Strong Python engineering skills—writing clean, scalable, and maintainable code - Experience operating within AWS/GovCloud environments.
- Familiarity with LLM evaluation frameworks (hallucination detection, drift monitoring).
- Knowledge of government security standards and working in different classification environments and on-prem - Security Clearance: Existing Secret/TS clearance or eligibility is a significant plus.
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