Unstructured

Unstructured

Unstructured transforms natural language data for AI by providing open source tools for easy preprocessing and connection to large language models.

IT Services
1-10
Founded 2022
$25M raised

Description

  • Design and implement production-grade RAG pipelines and agentic workflows in Python.
  • Build systems for unstructured and multimodal data, including PDFs, scanned documents, images, and full motion video.
  • Own the lifecycle of AI solutions from initial research through AWS deployment.
  • Evaluate and prototype new models, including LLMs, embedding models, and object detection models.
  • Run experiments to validate approaches for SBIR and government deliverables.
  • Document architectures and contribute to technical reports for contract work.
  • Participate in pre-sales calls to help architect solutions for complex client needs.
  • Translate high-level government requirements into technical roadmaps.
  • Deploy, fine-tune, and optimize open-source models in restricted or air-gapped environments.
  • Work on scalable, performant systems where latency, cost, and accuracy are treated as first-class concerns.

Requirements

  • Proven experience deploying production RAG pipelines on real-world, messy datasets.
  • Deep expertise in agentic system design, including tool use and multi-agent orchestration.
  • Strong Python engineering skills with clean, scalable, maintainable code.
  • Experience operating in AWS and GovCloud environments.
  • Ability to work in restricted or air-gapped environments.
  • Experience deploying, fine-tuning, and optimizing open-source models when commercial APIs are unavailable.
  • Comfort translating high-level government requirements into technical roadmaps.
  • Familiarity with LangChain, LangGraph, CrewAI, or similar orchestration frameworks.
  • Experience fine-tuning NLP or object detection models is preferred.
  • Familiarity with LLM evaluation frameworks such as hallucination detection and drift monitoring is preferred.
  • Knowledge of government security standards and work across classification environments and on-prem environments is preferred.
  • Existing Secret or TS clearance, or clearance eligibility, is a significant plus.
  • Expert-level Python and SQL skills.
  • Experience with vector databases, graph databases, Elasticsearch, BM25, sentence transformers, and related RAG components.
  • Experience with AWS services such as SageMaker, Bedrock, S3, Lambda, Docker, and FastAPI.

Benefits

  • Competitive compensation package.
  • Stock options.
  • Remote full-time work arrangement.
  • Opportunity to work on cutting-edge machine learning projects.
  • Collaborative and innovative work environment.
  • Focus on learning and growth.
  • Opportunity to shape the company’s direction.
  • Impactful work on unstructured data processing for public sector clients.

Interested in this position?

Apply directly on the company website

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