Drimva

Shepherd

Software Engineer, Applied AI

$170K–$400K

San Francisco · On-site · Full-time · Posted Oct 20, 2026

Experience
At least 5+ years of working experience; preferably as a full-stack engineer.

About the job

Build and ship production AI systems that improve insurance underwriting, pricing, and internal workflows.

What you'll do

  • Identify AI opportunities with product, engineering, underwriting, and data teams; own features end-to-end.
  • Build and deploy LLM-powered features, agents, and retrieval-augmented systems that extract insights from insurance data.
  • Develop AI infrastructure for model serving, inference, evaluation, and monitoring, and establish practices for reliability.

What they ask for

  • Strong backend engineering experience building scalable APIs and distributed systems.
  • Hands-on experience shipping AI-powered products into production.
  • Familiarity with LLMs, RAG architectures, embeddings, and vector databases.
  • At least 5+ years of working experience; track record of delivering high-impact products.

Nice to have

  • Experience building AI agents or multi-step reasoning systems.
  • Background in applied machine learning beyond generative AI; pricing systems, financial infrastructure, or risk modeling experience is also a bonus.

Pay

$170K – $400K USD base salary

Tools

React, Next.js, Typescript, GraphQL w/ Apollo, Node.js, Postgres, Redis, GraphQL APIs

AI focus

Develop production LLM-powered features, AI agents, and retrieval-augmented systems for underwriting, pricing, and internal tools; build AI infrastructure and improve model evaluation and reliability.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)