Qumis · 2 months ago
Founding Staff AI Engineer
Qumis is a venture-backed AI startup focused on transforming the insurance industry through advanced technology. The Founding Staff AI Engineer will be responsible for building and shipping production-grade AI that powers core workflows, collaborating closely with the CTO and co-founders to shape the architecture and engineering culture.
Artificial Intelligence (AI)Generative AIInsurTechLegal Tech
Responsibilities
Build and ship production AI features end-to-end—from R&D to SaaS integration, observability, and iteration
Design and deploy advanced document understanding systems, including RAG pipelines, clause segmentation, summarization, risk detection, and more
Create scalable APIs that deliver real-time coverage analysis, comparisons, and recommendations inside a modern SaaS UI
Engineer robust data workflows across OCR, PDF ingestion, parsing, normalization, and embedding generation
Own evaluation and observability, from automated accuracy pipelines to human-in-the-loop systems that maintain trust and reliability
Design for explainability—develop transparent workflows that help legal, claims, and compliance professionals understand what the AI sees and says
Collaborate across disciplines with designers, PMs, and domain experts to translate insurance workflows into AI-powered systems
Set technical direction—you’ll shape our infra, tooling, and AI product roadmap from the ground up
Qualification
Required
6–10+ years of experience building and deploying production machine learning systems, with a focus on NLP, document intelligence, or unstructured data
Strong track record shipping ML models into production—API design, observability, iteration, and scaling included
Deep experience with RAG pipelines, multi-step LLM workflows, and vector databases (e.g., Pinecone, Weaviate, Qdrant)
Comfortable working with complex, messy documents (e.g., insurance policies, contracts), including parsing, OCR, clause-level segmentation, and normalization
Strong software engineering background, with experience in fullstack dev, containerization (Docker), and DevOps/MLOps best practices
Ability to design secure, compliant systems in regulated environments (insurance, legal, healthcare, or finance)
Experience architecting agentic workflows and AI-native products that go beyond simple chatbot interfaces
Product-first mindset—you build models to solve real user pain, and love working closely with cross-functional teams
Operates like a founder—driven, hands-on, scrappy, and thrives in fast-paced, zero-to-one environments with extreme ownership
Benefits
Medical, dental, and vision insurance (Aetna + Guardian) with 100% of premiums covered for employees on select plans and up to 90% coverage for dependents
Life Insurance (company-paid), plus supplemental options, short- and long-term disability insurance, pre-tax FSA and HSA options, and pre-tax commuter benefits
Unlimited PTO & $1,000 home office setup stipend
Hybrid work environment: 1–2 days/week in our Chicago office
Professional development support and growth opportunities
Company
Qumis
Qumis provides an AI-powered platform for the insurance industry, delivering legal-grade policy analysis, and claim reviews
Funding
Current Stage
Early StageTotal Funding
$2.46MKey Investors
Armory Square VenturesBrokerTech Ventures
2025-01-21Pre Seed· $2.2M
2024-03-27Pre Seed· $0.05M
2023-10-01Pre Seed· $0.21M
Recent News
Digital Insurance
2025-10-15
FinTech Global
2025-08-07
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