Applied AI Engineer

📋 Description

• Partner with enterprise customers to identify high-value opportunities and translate them into
• Design, build, and deploy AI systems that solve important customer problems and produce measurable
• Work hands-on in code to build prototypes, evaluation harnesses, reference implementations
• Make sound technical decisions across models, agents, retrieval, tools, data, reliability
• Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers
• Help customers progress from promising prototypes to reliable production systems, sustained

🎯 Requirements

• Demonstrated track record of designing, building, and delivering AI or machine-learning systems in
• Significant personal contributions in code, architecture, evaluation, debugging, or production
• Proficiency in Python; experience with JavaScript/TypeScript is valuable.
• Ability to evaluate AI systems systematically using representative data, graders, production
• Experience navigating enterprise production requirements such as integrations, reliability
• Ability to connect technical decisions to customer workflows, adoption, and measurable business

🎁 Benefits

• Hybrid work model with 3 days in the office per week.
• Relocation assistance for new employees.
• Opportunity to work on consequential real-world deployments at the frontier of AI.
• Collaborative environment with cross-functional teams across Product, Research, Engineering
• Chance to influence the direction of OpenAI’s products through deployment experience.
• Access to OpenAI policies and privacy resources for a transparent, supportive workplace.