Applied AI Engineer

Highlights

• Partner with leading organizations to deploy frontier AI into production.
• Turn ambitious prototypes into reliable, scaled systems with measurable impact.
• Translate deployment lessons into reusable patterns that shape OpenAI products.

What they offer

• Relocation assistance

Ideal candidate

Hands-on builder with high agency who thrives in ambiguity and loves partnering with customers to ship AI to production. Motivated by real-world impact, strong judgment, and clear communication across engineers to executives.

Requirements

• Demonstrated track record designing, building and delivering AI or ML systems in enterprise environments from prototype to production
• Substantial personal contributions in code, architecture, evaluation, debugging or production engineering
• Highly proficient in Python and comfortable across AI application stack
• Ability to evaluate AI systems systematically using representative data, graders, production signals and human judgment
• Experience navigating enterprise production requirements including integrations, reliability, security, privacy and governance
• Ability to connect technical decisions to customer workflows, adoption and measurable business outcomes
• Clear, credible communication across engineers, technical leaders, security, product leaders and executives
• High agency, strong technical judgment and end-to-end ownership in ambiguous environments