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Forward Deployed Engineer (Handshake AI Enterprise)
Handshake · New York, United States
About The Role
Join Handshake AI Enterprise as a Forward Deployed Engineer, where you'll work directly with enterprise customers to develop AI-driven solutions tailored to their specific business needs. You'll own the full stack, from defining the solution to building and deploying agents, and become a domain expert in your customer's vertical. This role offers a comprehensive benefits package, including health insurance, 401k match, equity, and flexible time off.
- Embedd directly with enterprise customers to understand their business and workflows.
- Define AI-driven solutions based on real business needs, and build and deploy production-grade agents.
- Design and run evaluations to measure agent performance, iterating until results improve.
- We're looking for engineers across a range of experience — from those who've already shipped real AI in production, to seasoned engineers ready to set the technical bar for the team
- 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
- Strong communication skills — you'll be in the room with senior stakeholders regularly and need to earn their trust quickly
- Strong understanding of agent architectures, evals, and how to measure and systematically improve AI performance
- Real-world experience building and shipping AI applications in production — not just fine-tuning or prototyping
- High ownership mentality — you care about outcomes, not just outputs
- 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
- Full-stack engineering experience with strong backend depth
- 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
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