Platform Engineer, Forward Deployed Engineering (AI)

TL;DR

Platform Engineer, Forward Deployed Engineering (AI): Building new platform capabilities from scratch, grounded in real customer deployments with an accent on architecting, product shaping, refactoring, and implementing reusable abstractions. Focus on translating cross-customer patterns into platform bets, raising the engineering bar through tooling and mentorship, and leading complex platform capabilities end-to-end.

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

Salary: $230K – $385K

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by safely deploying AI systems through its products.

What you will do

• Provide hands-on leverage to customer pods by embedding with FDE teams to support generalization, contributing to architecture, product shaping, refactoring, and implementation.
• Translate repeated customer signals into clear platform hypotheses with defined success criteria, scope, and validation plans.
• Raise the engineering bar through high-signal code review, pairing, and building lightweight developer tooling to promote good architecture and correctness across FDE.
• Collaborate closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring relevant products and platform capabilities to market.
• Lead complex platform capabilities end-to-end, acting as DRI from requirements through implementation for high-leverage primitives like the Context Platform.

Requirements

• 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on.
• Owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, improving outcomes through structured iteration.
• Built or operated systems where reliability, security, and governance materially shaped design (e.g., permissions/RBAC, auditability, data access, rollout safety, observability).
• Communicate clearly across engineering, product, go-to-market, and executive audiences, simplifying complex ideas and translating technical tradeoffs.
• Default to systems thinking, turning ambiguous feedback and failures 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

• Work in a highly collaborative environment, innovating on cutting-edge products with other builders.
• Hybrid work model with 3 days in the office per week.
• Relocation assistance offered.
• Opportunity to contribute to a mission-driven company shaping the future of AI.
• Equal opportunity employer committed to diversity and inclusion.