OpenAI

Applied AI Engineer

6.0/10
OpenAI
Not specified
Remote
mid
about 4 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-defined but lacks compensation details, affecting overall quality.

AI quality score6.4 / 10

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Overview

Join OpenAI as an Applied AI Engineer to design, build, and deploy AI systems that deliver measurable business outcomes. Work with enterprise customers and influence how OpenAI's products evolve. 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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

What you'll do

  • โ€ขPartner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
  • โ€ขDesign, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
  • โ€ขWork hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
  • โ€ขMake sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
  • โ€ขDiagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
  • โ€ขHelp customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
  • โ€ขPartner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
  • โ€ขCreate reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

Conditions

  • โ€ขHybrid work model of 3 days in the office per week.
  • โ€ขRelocation assistance to new employees.
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