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Shepherd

Software Engineer, Applied AI

San FranciscoOnsite · United States
FullTime · EPD
POSTED 20 OCTVERIFIED 8H AGO
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Role
20 days opentrue age
Posted 20 Oct
Payats field
$170k–400kposted
▲ +43% vs market median $200k
$161k$400k
Market p25–p75
$161k–$239k
Shepherd p25–p75
$285k–$299kn=3
SF Bay Area · n=1752 · 365d to 6 Nov
CompanyShepherd →
25open roles
Opened · 30d
+0
Closed · 30d
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3d of snapshots · 30d window
Market
37,612open · Software engineering
Opened · 7d
+2,1096% of open
All software engineering
75,154open
All tracked boards · live 10 Nov · n=37,612
SparkLLMsDistributed systems

What we do

Build the insurance behind the physical world.

The world is building data centers, energy projects, hospitals, schools, and critical infrastructure. Every one of those projects needs insurance to move forward. Yet the process of getting that insurance still depends on scattered documents, manual work, and weeks of back-and-forth.

Shepherd is rebuilding commercial insurance with software, data, AI, and deep underwriting expertise. We started in construction and energy, where understanding the specifics of a project matters and better decisions have consequences far beyond a screen.

We develop insurance products, decide which risks to insure and how to price them, and partner with established insurers to back the coverage. We own the platform our team uses to turn complex submissions into coverage for the builders and operators shaping the world around us.

Real problems. Real ownership.

Our engineers, designers, underwriters, CX, and actuaries build together. The problems span turning messy documents into reliable data, making pricing more precise, and designing AI agents that can take on increasingly complex underwriting work.

The ambition is a platform where experts spend more time on judgment and relationships, supported by software that handles the work around them. Join us to build systems whose decisions help real projects get built.

630+ customers / $500B+ insured project value

Our investors

Capital to build. Partners to grow with.

$67M total funding / $42M Series B in March 2026

Shepherd is backed by Intact Private Capital, Costanoa Ventures, Spark Capital, Susa Ventures, and Y Combinator. In March 2026, we announced a $42M Series B led by Intact Private Capital, bringing our total funding to $67M.

Intact is also a capacity partner. Alongside its investment, Intact works with Shepherd to bring insurance products to market. That relationship connects our platform and underwriting expertise with the resources of a global insurer.

A bigger opportunity ahead

We are investing in new insurance products, our underwriting team, and the path toward autonomous underwriting. For the people joining Shepherd, that means the chance to shape both the technology and the business it makes possible.

Our backing brings together investors who build technology companies and partners who understand insurance. We are building a company that earns the confidence of both.

The Role

We are hiring a Software Engineer focused on Applied AI to build intelligent systems that directly power our underwriting and pricing engine. This role sits at the intersection of product engineering, AI infrastructure, and real-world insurance workflows.

You will design and ship production AI systems that meaningfully improve how we evaluate risk, price policies, and operate our business.

What You’ll Do

Partner with product, engineering, underwriting, and data teams to identify high-leverage AI opportunities

Design, build, and deploy LLM-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 with higher quality decisions

Establish best practices for prompt engineering, evaluation frameworks, and model reliability

Own AI features end-to-end from ideation to production

What We’re Looking 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

Experience integrating AI systems into user-facing or workflow-driven applications

Comfort with cloud infrastructure and deploying AI workloads at scale

A product mindset and the ability to translate ambiguous business problems into concrete AI systems

You have at least 5+ years of working experience (preferably as a full-stack engineer) with a track record of delivering high-impact products

Source · ShepherdFirst seen 3 NovOriginal ↗