Qumis
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Founding Staff AI Engineer
role at
Qumis
1 month ago Be among the first 25 applicants
Base pay range $150,000.00/yr - $250,000.00/yr
About Qumis Qumis is a venture‑backed AI startup building the most advanced platform for reading and interpreting insurance policies. We help P&C insurance professionals—claims advocates, brokers, underwriters, and legal teams—to move faster, make better decisions, and reduce reliance on siloed expertise. Our customers include some of the largest insurance organizations in the U.S.
We combine legal‑grade natural language understanding with structured analysis and intuitive workflows to modernize one of the most complex and outdated parts of the insurance industry: reading the policy. Our vision is a world where anyone can read any insurance policy like a lawyer.
We’re a small, high‑trust team of engineers, designers, and insurance/legal experts. We move fast, operate with autonomy, and hold each other to a Michelin‑star standard. We value grit, speed, ownership, clarity of thinking, and deep curiosity. If you’re energized by building at the edge of AI, transforming massive legacy industries, and working with people who care deeply—welcome.
About The Role We’re hiring a Founding Staff AI Engineer to build and ship production‑grade AI that powers the core workflows of Qumis. You’ll partner closely with the CTO and co‑founders to design, implement, and own every part of our AI pipeline—from unstructured document ingestion to interactive LLM outputs that shape legal‑grade decisions.
It’s a product‑critical role for someone who thrives in ambiguity, ships fast, and is excited to be the technical owner of a new AI stack inside a real‑world, high‑stakes domain.
You’ll play a key role in shaping our architecture, roadmap, and engineering culture. Your work will touch every customer, every week.
What You’ll Do
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
What We’re Looking For
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 full‑stack 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
Why Join Qumis
Backed by top‑tier venture capital funds including Armory Square Ventures, MTech Capital, Grand Ventures, and Alumni Ventures, and strategic angels in AI and insurance including the founder and CEO of Chicago insurtech unicorn Kin Insurance
Used and loved by leading brokerages and claims teams to transform how work gets done including multiple top 15 brokerages with tremendous expansion potential
Shape the future of how generative AI transforms one of the world’s most complex, critical industries
High‑ownership role on a high‑standards founding team with grit, urgency, and big ambition
Build a generational company—the kind of opportunity that only comes once in a career
We've Got You Covered
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
Compensation Range: $150K - $250K
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Software Development
Referrals increase your chances of interviewing at Qumis by 2x
Get notified about new Artificial Intelligence Engineer jobs in Chicago, IL.
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Founding Staff AI Engineer
role at
Qumis
1 month ago Be among the first 25 applicants
Base pay range $150,000.00/yr - $250,000.00/yr
About Qumis Qumis is a venture‑backed AI startup building the most advanced platform for reading and interpreting insurance policies. We help P&C insurance professionals—claims advocates, brokers, underwriters, and legal teams—to move faster, make better decisions, and reduce reliance on siloed expertise. Our customers include some of the largest insurance organizations in the U.S.
We combine legal‑grade natural language understanding with structured analysis and intuitive workflows to modernize one of the most complex and outdated parts of the insurance industry: reading the policy. Our vision is a world where anyone can read any insurance policy like a lawyer.
We’re a small, high‑trust team of engineers, designers, and insurance/legal experts. We move fast, operate with autonomy, and hold each other to a Michelin‑star standard. We value grit, speed, ownership, clarity of thinking, and deep curiosity. If you’re energized by building at the edge of AI, transforming massive legacy industries, and working with people who care deeply—welcome.
About The Role We’re hiring a Founding Staff AI Engineer to build and ship production‑grade AI that powers the core workflows of Qumis. You’ll partner closely with the CTO and co‑founders to design, implement, and own every part of our AI pipeline—from unstructured document ingestion to interactive LLM outputs that shape legal‑grade decisions.
It’s a product‑critical role for someone who thrives in ambiguity, ships fast, and is excited to be the technical owner of a new AI stack inside a real‑world, high‑stakes domain.
You’ll play a key role in shaping our architecture, roadmap, and engineering culture. Your work will touch every customer, every week.
What You’ll Do
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
What We’re Looking For
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 full‑stack 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
Why Join Qumis
Backed by top‑tier venture capital funds including Armory Square Ventures, MTech Capital, Grand Ventures, and Alumni Ventures, and strategic angels in AI and insurance including the founder and CEO of Chicago insurtech unicorn Kin Insurance
Used and loved by leading brokerages and claims teams to transform how work gets done including multiple top 15 brokerages with tremendous expansion potential
Shape the future of how generative AI transforms one of the world’s most complex, critical industries
High‑ownership role on a high‑standards founding team with grit, urgency, and big ambition
Build a generational company—the kind of opportunity that only comes once in a career
We've Got You Covered
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
Compensation Range: $150K - $250K
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Software Development
Referrals increase your chances of interviewing at Qumis by 2x
Get notified about new Artificial Intelligence Engineer jobs in Chicago, IL.
#J-18808-Ljbffr