Applied AI Engineer, Digital NativesActive$197K–$278K

The opportunity

The Applied AI 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 API customers, working to build an effective backlog of frontier AI…

What you'll do

  • Deeply embed with our most sophisticated and technical platform customers,: serving as their technical thought partner in ideating and building novel applications on our API.

  • Forge relationships with CTOs, AI Product and engineering leaders to ensure: their application’s successful deployment at scale.

  • Proactively provide guidance to our customers on how to maximize business: impact from their applications, accelerating their time to value.

  • Build targeted prototypes, pilots, and model evaluations with customer teams: to test product ideas, guide architecture decisions, and inform their product roadmaps.

  • Collaborate with our Product and Research teams in validating upcoming: frontier AI capabilities in customer environments, and deliver high-signal feedback to steer OpenAI’s roadmap.

  • Scale the Applied AI Engineer function through sharing knowledge and: publishing best-practices to our internal and external repositories.

What they're looking for

  • Evaluate emerging model capabilities, developer tools, and implementation: patterns, and translate relevant advances into practical recommendations for customer applications.
  • Work alongside customer teams through on-site workshops and implementation: sessions, helping resolve technical challenges and strengthen relationships. This includes occasional travel.
  • Bring 8+ years of deep, hands-on technical experience and an eagerness to: work closely with customers. Our team consists of former startup founders, software and ML engineers, technical product managers and solution architects.
  • Have a track record of personally leading complex, production-scale AI/ML: systems from ambiguous discovery through production deployment, adoption, and measurable business impact.