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NEXTMOVEFDE careers · United States

Forward Deployed Engineer, Enterprise AI

AI summary of the role

Builds and deploys production AI agents inside enterprise customer environments for Handshake AI Enterprise.

What you’ll do

  • Embed with enterprise customers to understand business and workflows.
  • Build and deploy production-grade agents, owning end-to-end delivery.
  • Design and run evals to measure agent performance and iterate.

Technologies

AI agents · agent architectures · evals · production AI · full-stack · backend · VPC deployments · on-prem · multi-agent systems

About Handshake (AI training)

Career network and AI-work marketplace connecting verified students, graduates, employers, and frontier AI labs for hiring, upskilling, and expert model training.

Series F

Source and classification

Production engineering · Evidence for this classification:

from Palantir, Meta, Scale AI, and former YC founders 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 About the Role As a Forward Deployed 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
More from the job description

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 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, [... source excerpt omitted ...] rking on About the Role As a Forward Deployed 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 [... source excerpt omitted ...] 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. 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 c

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