
Applied AI Engineer, Codex
Primary stack
Nice to have's
Job description
About the Position
Applied AI Engineer, Codex
We're seeking an Applied AI Engineer, Codex to join our team at OpenAI in San Francisco, focusing on enhancing developer productivity with AI.
Location
- City: San Francisco
- Country: United States
- Remote: No
Employment Type
- Type: Full-time
Compensation
- Range: $211K - $278K per year
- Benefits:
- Medical, dental, and vision insurance
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
- 401(k) retirement plan with employer match
- Paid parental leave, medical and caregiver leave
- Paid time off and holidays
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits
- Relocation support
- Additional taxable fringe benefits
Responsibilities
- Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers.
- Partner directly with customers to design and implement AI-enhanced development workflows.
- Build high-quality demos, reference implementations, and workflow automations.
- Lead large-format workshops, technical deep dives, and hands-on enablement sessions.
- Contribute technical content to the OpenAI Cookbook.
- Gather high-fidelity product insights from real customer deployments.
- Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC.
- Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
Requirements
- 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
- Active power user of AI coding tools and deeply customized developer workflow.
- Experience delivering large, high-impact workshops or technical training to engineering teams.
- Contributed technical guides, patterns, or examples publicly.
- Ability to communicate complex technical concepts clearly and persuasively.
- Excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
- Care about customer success, reliability, safety, and operational excellence.
Nice to Have
- Experience with technical training and workshops.
- Strong communication skills.
- Experience in product development.
- Knowledge of AI ethics.
About the Company
OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. We are an equal opportunity employer and value diversity in our team.
We Offer
- Competitive salary and equity.
- Comprehensive benefits package.
- Opportunity to work with cutting-edge AI technology.
- Collaborative and innovative work environment.
Join us in shaping the future of technology.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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