Applied AI Engineer, Handshake AI Enterprise
Handshake
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
- Build a massive, fast-growing business with billions in revenue
- Location: San Francisco, CA | 5 days/week in-office
- Contribute to customer deployments as part of a small team, developing genuine understanding of their business and workflows
- Build and deploy production-grade agents tailored to specific customer use cases
- Design and run evals to measure agent performance; iterate and hill-climb until results move
- Work closely with Senior Engineers, Product, and Platform teammates to ship cohesive, reliable solutions
- Contribute to engineering best practices, agent patterns, and reusable frameworks as the team scales
- Surface insights from deployments that inform Handshake's platform and product roadmap
- 2-5 years of engineering experience, with backend depth and some exposure to AI or ML systems in production
- Hands-on experience building and shipping software in production, you care about whether it actually works
- Familiarity with agent architectures or LLM-based systems, and curiosity to go deeper
- Comfort with ambiguity, you don't need a perfect spec to start making progress
- Strong communication skills, you'll interact with customers regularly and need to represent the team well
- High ownership mentality, you care about outcomes, not just closing tickets
- Any experience building or shipping AI applications in production
- Exposure to enterprise environments or customer-facing engineering roles
- Familiarity with evals, prompt engineering, or AI quality measurement
- Domain knowledge in a specific enterprise vertical (recruiting, finance, ops, legal, etc.)
Vacancy posted 10 hours ago
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