Applied AI Engineer
OpenAI · Posted Oct 6
Artificial intelligence research, generative models, and advanced machine learning deployment
Get a personal compatibility score
Add a resume for personal matches
About the role
OpenAI's Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems, working with customer executives, product and engineering teams, security leaders, and transformation teams on complex enterprise deployments. As an Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems, combining hands-on engineering with customer leadership from use-case selection and architecture through prototyping, evaluation, production launch, and scale. The role can be based in Delhi, Mumbai, or Bangalore and involves writing and debugging code, building evaluation systems, and resolving complex integrations around model behavior, reliability, latency, cost, safety, security, and governance.
What you will do
- Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
- Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
- Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
- Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
- Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
- Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
- Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
- Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.
Skills used in this role
What the employer is looking for
- Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
- Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management.
- Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
- Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
- Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
- Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.
- Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
- Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required.
Benefits and support
- relocation assistance
About OpenAI
OpenAI is an AI research and deployment organization dedicated to developing safe and beneficial general-purpose artificial intelligence. The company creates breakthrough generative AI models like ChatGPT and the GPT series, aiming to ensure artificial intelligence broadly benefits all of humanity.
- Industry
- Artificial Intelligence
- Company size
- 5001-10000 employees
- Founded
- December 8, 2015
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $190B raised
- 2026-03-31Series F$122B
- 2025-03-31Series F$40B
- 2024-10-02Series E$6.6B
- 2023-01-23Corporate Round$10B
- 2019-07-22Corporate Round$1B
Leadership
Chief Executive Officer and Co-Founder
President and Co-Founder
Chief Financial Officer
Chief Scientist
Chief Strategy Officer
Recent coverage
TechCrunch
OpenAI to test visual ads in ChatGPT image generation2026-10-05
The New York Times
OpenAI adds immediate intervention options after model agent incidents2026-10-06
Computing
OpenAI introduces text watermarking features to comply with EU AI Act2026-10-06
OpenAI Blog
OpenAI announces GPT-6 Sol and major developer updates at DevDay 20262026-09-29