Unstructured Technologies Inc. - AI Engineer - Public Sector
Requirements
• 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. • Experience fine-tuning NLP or object detection models. • 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. • Your Technical Toolkit • Languages: Python (expert-level), SQL • LLM & Agentic Frameworks: LangChain, LangGraph, CrewAI, or similar orchestration frameworks • RAG Stack: Retrieval with vector databases (Pinecone, Weaviate, Chroma, pgvector), graph databases (Neo4J), Elasticsearch, BM25, and Sentence-Transformers; NLP enrichment with spaCy, GLiNER, and Transformers; optimization using embedding models, reranking pipelines, and DSPy • Evaluation & Observability: RAGAS, DeepEval, Arize Phoenix, and synthetic annotations • Cloud & Infrastructure: AWS, SageMaker, Bedrock, S3, Lambda, Docker, and FastAPI • Data Processing: Complex pipelines for unstructured and multimodal data, including PDFs, scanned documents, images, and audio.
Responsibilities
• 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.
Benefits
• You'll be surrounded by smart, kind, low-ego people who genuinely enjoy building together. We invest in our team with company offsites, best-in-tech swag, and the tools you need to do your best work, wherever you're based. • We support you holistically, not just at work. From medical, dental, and vision coverage effective the 1st of the month following your start date, life and disability insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a $500 work from home stipend, $70/month internet reimbursement, and team/company offsites throughout the year - we want you focused on building, growing, and staying energized for the long haul. • Most importantly, we’re scaling fast. This is a chance to join early enough to build foundational technology, influence how we operate, and help shape the future of a company defining the next era of AI infrastructure • If you're excited about what we're building, we'd love to meet you.
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