Software Engineer, Handshake AI Enterprise

Handshake Handshake · Enterprise · San Francisco, CA · Engineering

Software Engineer on the Handshake AI Enterprise team, responsible for the product experience layer of AI applications deployed directly into enterprise customer environments. This role involves working closely with customers to understand their workflows, contributing to product decisions, and building end-to-end solutions. The engineer will build high-quality, full-stack features, collaborate with Applied AI and Platform engineers, and iterate based on customer feedback. The role requires 2-5 years of product engineering experience with full-stack capabilities and a focus on product quality.

What you'd actually do

  1. Contribute to the product experience of AI applications deployed into enterprise customer environments, from initial build through iteration
  2. Participate in customer conversations to understand workflows, pain points, and what "great" looks like in their context
  3. Build high-quality, full-stack features, from data models and APIs to the interfaces people actually use
  4. Collaborate closely with Applied AI and Platform engineers on your deployment team to ship cohesive, production-grade solutions
  5. Iterate based on real usage and customer feedback, with tight feedback loops

Skills

Required

  • 2-5 years of product engineering experience
  • fullstack instincts
  • genuine care for product quality
  • modern backend frameworks
  • APIs
  • data modeling
  • React/TypeScript on the frontend
  • eye for product experience
  • pragmatic technical decisions
  • ambiguous, fast-moving environments
  • strong communication skills

Nice to have

  • Experience building or integrating AI-powered features in production, customer-facing products
  • Background working in or alongside enterprise deployment environments
  • History of close collaboration with designers, or a background in design yourself
  • Experience at a company with a forward-deployed or embedded engineering model

What the JD emphasized

  • product experience layer of AI applications we deploy directly into enterprise customer environments
  • engineering craft is a meaningful part of what makes AI applications succeed in enterprise environments
  • building or integrating AI-powered features in production, customer-facing products

Other signals

  • AI data business
  • deploy AI applications into enterprise customer environments
  • customer-facing products