Handshake

AI

SeniorAppliedAIEngineer,HandshakeAIEnterprise

$205–300k San Francisco, California, United States FULL TIME
The Brief

“Senior Applied AI Engineer, Handshake AI Enterprise at Handshake. Skills: Applied AI, Backend Engineering, Production AI Applications, Agent Architectures, Evals, Customer Interaction. Embed directly with enterprise customers as part of a small deployment team. developing deep understanding of their business and workflows”

What You'll Achieve.

measurably change how they operate; performance actually moves; AI that keeps getting better; scale output without sacrificing quality

Industry & Context.

AI
Problems you'll solve

systems thinking, you can zoom out to the business problem and zoom in to the technical solution without losing either thread

Eligibility Requirements

5 days/week in-office

What They're Looking For.

Must Have

5-6+ years of engineering experience, applied AI and backend depth, Real-world experience building and shipping AI applications in production, understanding of agent architectures, understanding of evals, understanding of how to measure and systematically improve AI performance, Comfort working directly with enterprise customers in ambiguous, high-stakes environments, systems thinking, High ownership mentality, communication skills

Nice to Have

Background at a company with a forward deployment or field engineering model, Experience building multi-agent systems in production, Domain expertise in a specific enterprise vertical (recruiting, finance, ops, legal, etc.), Familiarity with enterprise security requirements, Familiarity with VPC deployments, Familiarity with on-prem configurations, History of building evals infrastructure, History of building AI quality measurement tooling

What You'll Do.

Embed directly with enterprise customers as part of a small deployment team

developing deep understanding of their business and workflows

Define AI-driven solutions based on real business needs

Build and deploy production-grade agents tailored to specific customer use cases

owning end-to-end delivery

Design and run evals to measure agent iterate and hill-climb until results move

Become a domain expert in your customer's vertical

use that expertise to build better AI over time

Work closely with Product and Platform engineers on your team to ship cohesive

Establish engineering best practices

Establish agent patterns

Establish reusable frameworks that help the team scale output without sacrificing quality

Surface insights from deployments that inform Handshake's platform and product roadmap

How You'll Work.

Team & Collaboration

Work closely with Product and Platform engineers on your team to ship cohesive, reliable solutions

Communication Scope

communication skills; in the room with senior stakeholders regularly and need to earn their trust quickly

Process & Methodology

owning end-to-end delivery

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