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Shepherd

MGU for large-scale commercial risks

Software Engineer - Applied AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$170k - $400k /yrIn-person

About the Job

Requirements

  • Strong backend engineering experience building scalable application programming interfaces and distributed systems.
  • Hands-on experience shipping AI-powered products into production.
  • Familiarity with large language models, retrieval-augmented generation architectures, embeddings, and vector databases.
  • Experience integrating AI systems into user-facing or workflow-driven applications.
  • Comfort with cloud infrastructure and deploying AI workloads at scale.
  • At least five years of working experience, preferably as a full-stack engineer, with a track record of delivering high-impact products.

Responsibilities

  • Partner with product, engineering, underwriting, and data teams to identify high-leverage AI opportunities.
  • Design, build, and deploy large-language-model-powered features across underwriting, pricing, and internal tooling.
  • Develop AI agents and retrieval-augmented systems that extract structured insights from unstructured insurance data.
  • Build production-grade AI infrastructure for model serving, inference, evaluation, and monitoring.
  • Create internal AI tools that enable underwriters and operators to move faster and make higher-quality decisions.
  • Establish best practices for prompt engineering, evaluation frameworks, and model reliability.
  • Own AI features end-to-end, from ideation to production.

Desired Qualifications

  • Experience building AI agents or multi-step reasoning systems.
  • Background in applied machine learning beyond generative AI.
  • Experience with pricing systems, financial infrastructure, or risk modeling.
  • Interest in transforming legacy industries with modern AI systems.

About the Company

Shepherd

MGU for large-scale commercial risks

Shepherd provides capacity-backed insurance for high-hazard commercial risks and pairs it with risk-management software and a curated app marketplace. Its products cover General Liability, Commercial Auto, and Workers’ Compensation, and underwriting decisions are made in hours, aided by data partnerships and AI-powered risk reduction. Clients receive automatic credits for using leading safety technologies, plus free risk-management software and tool integrations that help reduce costs, setting Shepherd apart from traditional MGUs with proactive risk management at scale. The goal is to deliver meaningful premium savings for proactive clients while streamlining the insurance process through rapid underwriting and a managed ecosystem of software and app partners.

Company size
51-200
Company stage
Series B
Total funding
$61.8M
Headquarters
San Francisco, CA
Founded
2020

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