Technical Staff Member – Agentic Engineer

Stand

Building self-driving insurer capabilities leveraging AI and physics at Stand Insurance. Leading engineering towards a scalable risk engine without friction in the property insurance industry.

Posted 7/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $240,000 - $295,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing agentic systems, with a focus on reliability and evaluation frameworks. Proficient in collaborating with applied science teams and developing tools for engineering efficiency.

Highest-signal resume keywords

Agentic Systems Production ExperienceEvaluation Framework DesignModel Context Protocol ImplementationAuthorization Framework FamiliarityFrontend Development (React/Next.js)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agent DeploymentLifecycle ManagementHigh-Throughput Orchestration EnginePrompt ManagementSkill Management

Soft Skills

Product Discovery

Tools & Technologies

Model Context ProtocolOpen-Source Agent Frameworks

Industry Keywords

InsuranceRegulated Operational Domain

Tech Stack

Tools & technologies

JavaScriptNext.jsReact

About the role

Key responsibilities & impact

Define and implement the skill-and-eval contract, running end-to-end for one real vertical.
Build an opinionated platform for agent deployment and lifecycle management.
Develop a high-throughput orchestration engine designed to manage agents and evaluations at scale.
Work at the seam between the surface people use, the operating map underneath it, and the shared platform services below that.
Partner closely with Applied Science, training their own models leveraging the harness.

Requirements

What you’ll need

Proven experience shipping agentic systems into production environments where reliability is critical.
Demonstrated track record of building tools or frameworks for engineering teams.
Proficiency in designing and managing evaluation frameworks.
Hands-on experience building Model Context Protocol (MCP) implementations.
Experience managing prompts and skills in production environments.
Familiarity with authorization frameworks and best practices.
Comfort and experience in product discovery.
Nice-to-have skills include: Experience in insurance or another regulated operational domain; Learning from logged human decisions; Built internal tooling for agentic software development; Enough frontend range (React/Next.js); Contributions to open-source agent frameworks; Experience partnering with applied-science teams.

Benefits

Comp & perks

Above-market Health, Dental, and Vision coverage
Weekly lunch stipend
Flexible time off + holidays
401(k) plan
Commuter benefits
PAT & MAT Leave
Short-Term and Long-Term Disability
Monthly team gatherings
In-office perks