Forward Deployed Engineer I, Handshake AI

Handshake Handshake · Enterprise · San Francisco, CA · Engineering

Forward Deployed Engineer role at Handshake AI, focusing on working with leading AI labs to understand technical challenges, build and iterate on production-grade solutions for complex customer needs, and contribute to the full lifecycle of high-impact deployments. The role involves customer engagement, hands-on technical work, and operating across the stack in ambiguous environments.

What you'd actually do

  1. Partner with AI labs and cross-functional stakeholders to understand technical challenges, help translate requirements into actionable engineering plans, and contribute to alignment across teams.
  2. Build and iterate on tailored, production-grade solutions for complex customer needs, often with guidance from senior engineers and minimal existing playbooks.
  3. Participate actively in code reviews and contribute to best practices for forward-deployed work.
  4. Contribute to architectural discussions around reliability, scalability, and security, and help implement repeatable deployment patterns.
  5. Rapidly prototype, test, and iterate on tools in response to real-time feedback, balancing speed of delivery with long-term maintainability.

Skills

Required

  • ReactJS
  • TypeScript
  • relational databases
  • data modeling
  • system design fundamentals
  • cloud infrastructure (AWS, GCP)
  • deployment pipelines
  • production operations
  • communication skills

Nice to have

  • customer-facing, solutions-oriented, or forward-deployed work
  • architecting or delivering systems for LLMs or other AI-powered products in customer-facing environments
  • component libraries
  • design systems
  • reusable frameworks
  • performance optimization of full-stack applications
  • forward-deployed, solutions engineering, technical consulting, or customer facing work

What the JD emphasized

  • customer-facing
  • forward-deployed
  • solutions-oriented
  • production-grade solutions
  • ambiguous, fast-changing environments
  • ambiguous environments with shifting requirements

Other signals

  • works directly with frontier AI lab researchers
  • data spend for AI training will increase by 3-5x in the next few years
  • supports all of the frontier AI labs, working on their most complex data at the largest scale
  • contribute to the full lifecycle of high-impact deployments
  • solutions that directly improve customer workflows and model performance