Handshake

Senior Applied AI Engineer, Enterprise AI

San Francisco, California, United States · On-site · FullTime

USD 220,000–300,000/year

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerHandshake
  • LocationSan Francisco, California, United States
  • Work styleOn-site
  • Employment typeFullTime
  • Employer posted
  • Salary (as stated by the employer)USD 220,000 – 300,000 per year

About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

Show full description

Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

About the Role

As an Applied AI Engineer at Handshake AI Enterprise, you'll embed directly inside enterprise customer environments as part of a small, expert team. You'll learn each customer's business deeply, their workflows, their bottlenecks, where the real leverage is, and translate that understanding into production-grade AI agents that measurably change how they operate.

This isn't an implementation or consulting role. You'll own the full stack: defining the solution, building and deploying agents, designing evals, and iterating until performance actually moves. Over time, you'll become a genuine domain expert in your customer's vertical and use that expertise to build AI that keeps getting better.

If you've built AI that works in the real world and want to do it again at much higher stakes, with better data, closer lab relationships, and a founding team that moves fast, this is the role.

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, not theoretical use cases

Build and deploy production-grade agents tailored to specific customer use cases, owning end-to-end delivery

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

Become a domain expert in your customer's vertical and use that expertise to build better AI over time

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

Establish engineering best practices, agent patterns, and reusable frameworks that help the team scale output without sacrificing quality

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

What We're Looking For

5-6+ years of engineering experience, full-stack with strong backend depth

Strong applied AI engineering experience and backend depth

Real-world experience building and shipping AI applications in production, not just fine-tuning or prototyping

Strong understanding of agent architectures, evals, and how to measure and systematically improve AI performance

Comfort working directly with enterprise customers in ambiguous, high-stakes environments

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

High ownership mentality, you care about outcomes, not just outputs

Strong communication skills, you'll be in the room with senior stakeholders regularly and need to earn their trust quickly

Location: San Francisco, CA | 5 days/week in-office

Extra Credit

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, VPC deployments, or on-prem configurations

History of building evals infrastructure or AI quality measurement tooling

Perks

Handshake delivers benefits that help you feel supported—and thrive at work and in life.

The below benefits are for full-time US employees.

🎯 Ownership: Equity in a fast-growing company

💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

🍼 Family Support: Paid parental leave, fertility benefits, parental coaching

💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

📚 Growth: $2,000 learning stipend, ongoing development

💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office

🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days

🤝 Connection: Team outings & referral bonuses

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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Machine learning engineer jobs in San Francisco

ROLIVA currently lists 28 open roles like this in San Francisco.

Employers hiring for this

  • Capital One Financial11 open roles
  • Airwallex2 open roles
  • Handshake2 open roles
  • Hinge Health2 open roles
  • 6sense1 open role

Top skills asked for

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Advertised salary for this role here

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  • USD a year, after annualising120,000–400,000 (11 listings, 8 employers)

At a glance

  • Work styleOn-site
  • Employment typeFullTime
  • SenioritySenior
  • Salary (as stated by the employer)USD 220,000–300,000 per year
  • Employer posted
  • Added to ROLIVA
  • Last checked

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