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Unstructured Technologies builds tools that help organizations extract, transform, and utilize unstructured data, enabling more effective large-scale machine le
AI Engineer – Public Sector
Location
United States
Posted
88 days ago
Salary
0
Seniority
Senior
Job Description
AI Engineer – Public Sector
Unstructured Technologies
• Own the lifecycle of AI solutions from initial research to AWS deployment. • Design and implement production-grade RAG pipelines and agentic workflows using Python. • Build systems that handle real-world "messy" data (PDFs, scanned docs, images, full motion video) and ensure they are performant and scalable. • Evaluate new models (LLMs, embedding models, object detection) and run experiments to prove what actually works. • 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.
Job Requirements
- 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.
- Experience operating within AWS/GovCloud environments.
- Experience fine-tuning NLP or object detection models (Nice-to-Haves).
- Familiarity with LLM evaluation frameworks (hallucination detection, drift monitoring).
- Knowledge of government security standards and working in different classification environments and on-prem.
- Existing Secret/TS clearance or eligibility is a significant plus.
Benefits
- Opportunity to work on a dynamic team and work on cutting-edge machine learning projects.
- Collaborative and innovative work environment with a focus on learning and growth.
- Impactful role in shaping the company's direction and driving innovation in unstructured data processing.
- Competitive compensation package, including benefits and stock options.
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Internal AI Automation Lead- Anju US
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