AI Engineer - Public Sector
AI summary of the role
AI Engineer for the Public Sector team at Unstructured, owning the lifecycle of AI solutions from research to AWS deployment.
What you’ll do
- Design and implement production-grade RAG pipelines and agentic workflows using Python, handling messy data like PDFs, scanned docs, images, and full motion video.
- Evaluate new models (LLMs, embedding models, object detection) and prototype approaches for SBIR/government deliverables.
- Document architectures and contribute to technical reports for contract deliverables.
- Participate in pre-sales calls to architect solutions for complex client needs.
What you’ll bring
- 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.
Technologies
Python · SQL · LangChain · LangGraph · CrewAI · Pinecone · Weaviate · Chroma · pgvector · Neo4J · Elasticsearch · BM25
About Unstructured
Builds the ingestion, transformation, enrichment, and orchestration layer that converts PDFs, emails, images, Office docs, HTML, audio, video, and other unstructured content into AI-ready data for RAG, agents, search, and downstream extraction workflows.
Series B · 100–200 people
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