Founding AI Engineer - Lead Production-Grade AI Stack

Qumis; Chicago (IL); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Unlimited PTO

Hybrid work environment

Job summary

A venture-backed AI startup is looking for a Founding Staff AI Engineer to build and ship cutting-edge AI solutions for interpreting insurance policies. This role requires 6–10 years of experience in production machine learning, focusing on NLP and document intelligence. You will design and deploy systems that enhance workflows in the insurance sector and collaborate with cross-functional teams to ensure the products meet real user needs. The position offers a hybrid work environment and comprehensive benefits.

Qualifications

• 6–10+ years of experience in production ML systems, focusing on NLP and document intelligence.
• Strong track record of shipping ML models into production, including observability.
• Experience with RAG pipelines and complex documents like insurance policies.

Responsibilities

• Build and ship production AI features end-to-end, from R&D to integration.
• Design and deploy advanced document understanding systems.
• Create scalable APIs delivering real-time analysis and recommendations.

Skills

Experience with production machine learning systems

API design

NLP & document intelligence

Software engineering background

Tools

Docker

Vector databases (e.g., Pinecone, Weaviate)

Job description

A venture-backed AI startup is looking for a Founding Staff AI Engineer to build and ship cutting-edge AI solutions for interpreting insurance policies. This role requires 6–10 years of experience in production machine learning, focusing on NLP and document intelligence. You will design and deploy systems that enhance workflows in the insurance sector and collaborate with cross-functional teams to ensure the products meet real user needs. The position offers a hybrid work environment and comprehensive benefits.