Drimva

Lyft

Senior AI Software Engineer, Risk - Insurance Claims Management

$148K–$185K

San Francisco, CA +2 · Senior · Full-time · Posted Sep 14, 2026

Location
San Francisco, CA
San Francisco, California, United States
Seattle, Washington, United States
Experience
6+ years of professional experience building scalable distributed systems.
Education
B.S. or M.S. in Computer Science or a related technical field, or relevant work experience.

About the job

Leads technical direction and development of a scalable claims-management platform for Lyft’s insurance operations, using AI automation to improve claim workflows.

What you'll do

  • Set the claims-management technical roadmap and provide architectural leadership across teams.
  • Build reliable, scalable platform solutions and AI automation for claim workflows; integrate with internal teams and insurance partners.
  • Lead code and design reviews, on-call support, and incident triage.

What they ask for

  • 6+ years building scalable distributed systems with high availability, observability, and reliability requirements.
  • Proficiency in Python.
  • Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and relevant AI frameworks.
  • B.S. or M.S. in Computer Science or a related technical field, or relevant work experience.

Nice to have

  • Insurance, claims management, workflow orchestration, or external-vendor experience; knowledge of AI safety and alignment.
  • Background in machine learning or NLP; experience with A/B testing and experimentation frameworks.

Pay

$148,000 - $185,000 USD base salary

Tools

Python, React/Next.js, Spark, Kafka, Airflow, multimodal LLMs, RAG pipelines

AI focus

Develop AI features and automation for claims workflows; improve AI performance with evaluations, agent tracing, LLM fine-tuning, RAG optimization, and feedback loops; use AI tools to enhance development efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)