H

Handshake

Connects talent with jobs and AI training work

Forward Deployed Engineer - Enterprise AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5–6 years of full-stack engineering experience with strong backend depth.
  • Real-world experience building and shipping AI applications in production, rather than only fine-tuning or prototyping.
  • Strong understanding of agent architectures, evaluations, and methods for measuring and systematically improving AI performance.
  • Ability to work directly with enterprise customers in ambiguous, high-stakes environments.
  • Strong systems thinking, with the ability to connect business problems to technical solutions.
  • Strong ownership and focus on outcomes.
  • Strong communication skills to work regularly with senior stakeholders and earn their trust.

Responsibilities

  • Embed directly with enterprise customers as part of a small deployment team and develop a deep understanding of their business and workflows.
  • Define AI-driven solutions based on real business needs.
  • Build and deploy production-grade agents tailored to specific customer use cases, owning end-to-end delivery.
  • Design and run evaluations to measure agent performance, then iterate and hill-climb until results improve.
  • Become a domain expert in the customer's vertical and use that expertise to improve AI over time.
  • Work closely with Product and Platform engineers to ship cohesive, reliable solutions.
  • Establish engineering best practices, agent patterns, and reusable frameworks to help the forward-deployed team scale output without sacrificing quality.
  • Surface insights from deployments that inform Handshake's platform and product roadmap.

Desired Qualifications

  • Background at a company with a forward deployment or field engineering model.
  • Experience building multi-agent systems in production.
  • Domain expertise in an enterprise vertical such as recruiting, finance, operations, or legal.
  • Familiarity with enterprise security requirements, virtual private cloud deployments, or on-premises configurations.
  • History of building evaluation infrastructure or AI quality measurement tooling.

About the Company

Handshake

Connects talent with jobs and AI training work

Handshake connects job seekers, employers, and university career centers through recruiting software, and supplies AI labs with experts who train and test language models. Its career platform combines job matching, recruiting events, and profiles that show completed AI projects and paid training experience. Handshake AI recruits and matches fellows to projects where they review model answers, create training data, and apply knowledge from their own fields. Employers pay for recruiting subscriptions and promotions, while its enterprise AI team builds agents and trains models inside customers' systems. Handshake was founded in 2014 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series F
Total funding
$434M
Headquarters
San Francisco, CA
Founded
2014

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