AI Engineer, Unstructured.io

• 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:
• Systems-First Engineering: You prioritize building reliable, scalable systems over experimental scripts. You have a track record of moving AI models out of notebooks and into production environments where latency, cost, and accuracy are treated as first-class citizens
• Technical Resourcefulness: You 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
• 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. 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
• Experience operating within AWS/GovCloud environments

Desirable

• 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. You’ll build systems that handle real-world "messy" data (PDFs, scanned docs, images, full motion video) and ensure they are performant and scalable
• 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