Platform Engineer, Forward Deployed Engineering (FDE) (AI)

TL;DR

Platform Engineer, Forward Deployed Engineering (FDE) (AI): Building and optimizing new platform capabilities for hirify.global's frontier AI models, turning customer signal into shipped software, repeatable patterns, and product direction. Focus on architecting and incubating end-to-end platform bets, validating them with design partners through short deployments or pilots, and driving adoption of reusable AI platform capabilities.

Location: This hybrid role is based in San Francisco or New York, requiring 3 days in the office per week. Relocation assistance is offered for candidates to these US locations.

Salary: $230,000–$385,000

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Architect and build new platform capabilities, turning customer signal into concrete designs, implementations, and APIs.
• Incubate platform bets end-to-end, forming hypotheses, shipping initial capabilities, and iterating quickly based on real usage.
• Embed with design partners to understand production constraints, perform deep technical discovery, and translate needs into platform requirements.
• Partner with customer-facing FDEs to deploy, debug, capture repeatable patterns, and convert field learnings into platform improvements.
• Design and run pilot programs to define qualification criteria for early adopters and harden the platform.
• Collaborate as part of cross-functional platform teams with core product and engineering counterparts.
• Drive adoption outcomes by measuring usage, identifying blockers, and prioritizing platform increments.

Requirements

• 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities.
• Experience owning customer-adjacent technical work end-to-end, from scoping through production adoption.
• Built or operated systems where reliability, security, and governance materially shaped design (e.g., permissions/RBAC, auditability).
• Communicate clearly across engineering, product, go-to-market, and executive audiences.
• Default to systems thinking, turning ambiguous feedback into durable product requirements and reusable platform capabilities.

Nice to have

• Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams).

Culture & Benefits

• Hybrid work model with 3 days in the office per week.
• Relocation assistance provided.
• Opportunity to work at the intersection of product, engineering, research, and go-to-market.
• Be part of a company dedicated to ensuring general-purpose AI benefits all of humanity.
• Equal opportunity employer committed to diversity and inclusion.