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Applied AI Engineer

OpenAIGenerative AI company
Abu Dhabi, United Arab EmiratesSenior
Microsoft logo
Microsoft
SoftBank
Nvidia logo
Nvidia
Amazon
Thrive Capital logo
Thrive Capital
Sequoia Capital logo
Sequoia Capital
Data & AI

About the role

TL;DR

Design, build, and deploy AI systems for enterprise clients.

  • Partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes.
  • You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale.
  • Key Responsibilities Partner directly with enterprise and digital native 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.
  • Requirements 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.
  • Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering.
  • 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.
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Required skills

PythonOpenAI APILangChain

Nice-to-have skills

JavaScriptTypeScript

Domain expertise

aiproductivity

Benefits & perks

Relocation assistance

Tech stack

PythonJavaScriptTypeScriptOpenAI APILangChain

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