Senior Forward Deployed Engineer

Handshake Handshake · Enterprise · San Francisco, CA · Engineering

Senior Forward Deployed Engineer at Handshake AI, focusing on technical leadership for AI lab deployments. This role involves understanding customer needs, architecting and building solutions, and scaling them for production, operating across the stack in ambiguous environments. Experience with LLMs and customer-facing roles is highly valued.

What you'd actually do

  1. Partner with AI labs and cross-functional stakeholders to deeply understand technical challenges, translate ambiguous requirements into actionable engineering plans, and drive alignment across teams.
  2. Own the design, architecture, and delivery of tailored, production-grade solutions for complex, high-impact customer needs—often with minimal precedent or existing playbooks.
  3. Mentor and uplevel other engineers through code reviews, architectural guidance, and establishing best practices for forward-deployed work.
  4. Make key architectural decisions around reliability, scalability, and security, and set the technical direction for 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

  • 5+ years of professional software engineering experience
  • ReactJS and TypeScript
  • relational databases (e.g., PostgreSQL), data modeling, and system design
  • cloud infrastructure (AWS, GCP), deployment pipelines, and production operations at scale
  • lead technical projects end-to-end in ambiguous environments with shifting requirements
  • communication and stakeholder management skills
  • mentoring engineers and raising the bar on engineering practices

Nice to have

  • architecting and delivering production systems for LLMs or other AI-powered products
  • building or contributing to component libraries, design systems, or reusable deployment frameworks
  • performance optimization and scaling of full-stack applications
  • forward-deployed, solutions engineering, or technical consulting role at a high-growth company

What the JD emphasized

  • technical leader at the intersection of our engineering organization and our most strategic customers, including leading AI labs
  • own the end-to-end lifecycle of high-impact deployments
  • architecting and delivering production systems for LLMs or other AI-powered products in real-world, customer-facing environments
  • customer-facing, solutions-oriented, or forward-deployed roles

Other signals

  • partner with frontier AI labs
  • create evaluations, publish benchmarks, and push the boundary of data
  • data spend for AI training will increase by 3-5x
  • Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale
  • technical leader at the intersection of our engineering organization and our most strategic customers, including leading AI labs
  • own the end-to-end lifecycle of high-impact deployments—from scoping complex technical requirements to architecting, building, and scaling solutions that directly improve customer workflows and model performance
  • operate across the stack in highly ambiguous, fast-changing environments
  • architecting and delivering production systems for LLMs or other AI-powered products in real-world, customer-facing environments