Backed by Kleiner Perkins and Lightspeed.
About the role
Handshake is hiring a Senior LLM Platform Engineer to join our Data and ML Platform team. This team supports Handshake’s core career marketplace and Handshake AI (HAI) by building the shared data, ML, and LLM infrastructure behind production workflows.
What they're looking for
- Strong production software engineering experience in Python, TypeScript, Go, or a similar language
- Experience building or operating high-throughput API gateways, proxies, or multi-tenant platform services
- Hands-on experience with Kubernetes, Terraform, CI/CD, and production service ownership
- Practical experience with LLM provider APIs, including streaming, long-running requests, retries, timeouts, cancellation, and rate limits
- Experience with authentication, quotas, credential management, tenant isolation, and auditability
- Experience building observability for distributed systems and leading production incident response
More about this role
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.
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
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...
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