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The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.
Job Responsibility:
Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale
Provide proactive guidance to maximize business impact and accelerate application development
Experiment and prototype alongside customers, demonstrating practical use cases
Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources
Synthesize and deliver valuable feedback to the Product and Research teams
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community
Requirements:
5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment
experience as a founder or founding engineer is highly valued
proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices
built and/or delivered prototypes on top of our API platform
can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API
own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly
Nice to have:
passion for startups and a belief in their potential to become future large enterprises