
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $40M Series B - Unstructured Technologies on 2024-03
Artificial Intelligence • SaaS • Enterprise
Unstructured is a SaaS platform that transforms complex, messy unstructured data (documents, invoices, newsletters, databases, etc. ) into clean, structured data optimized for AI and analytics. The company provides parsing, chunking, embedding, enrichment, and pre-processing capabilities, with built-in security, role-based access, and continuous pipeline maintenance. Unstructured offers a UI and machine-callable pipelines (MCP) and integrates with major LLMs (OpenAI, Anthropic) and numerous data destinations via connectors and pipelines, targeting enterprise customers including a large portion of the Fortune 1000.
🔥 1 hour ago
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $40M Series B - Unstructured Technologies on 2024-03
Artificial Intelligence • SaaS • Enterprise
Unstructured is a SaaS platform that transforms complex, messy unstructured data (documents, invoices, newsletters, databases, etc. ) into clean, structured data optimized for AI and analytics. The company provides parsing, chunking, embedding, enrichment, and pre-processing capabilities, with built-in security, role-based access, and continuous pipeline maintenance. Unstructured offers a UI and machine-callable pipelines (MCP) and integrates with major LLMs (OpenAI, Anthropic) and numerous data destinations via connectors and pipelines, targeting enterprise customers including a large portion of the Fortune 1000.
• You will be a high-agency individual contributor, owning the lifecycle of AI solutions from initial research to AWS deployment. • Design and implement production-grade RAG pipelines and agentic workflows using Python. • Evaluate new models (LLMs, embedding models, object detection), prototype approaches for SBIR/government deliverables, 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.
• 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-have). • Familiarity with LLM evaluation frameworks (hallucination detection, drift monitoring) (nice-to-have). • Knowledge of government security standards and working in different classification environments and on-prem (nice-to-have). • Security Clearance: Existing Secret/TS clearance or eligibility is a significant plus (nice-to-have).
• Health insurance • Dental coverage • Vision coverage • Life and disability insurance • Unlimited PTO • Flexible parental leave • 401(k) with company match • Equity • Work from home stipend • Internet reimbursement
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