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Applied Ai Engineer

openai

Híbrido Abu Dhabi, UAE
AI

Job Score

90 pts
Hybrid model (+80) AI (+10)

About the Team

OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works.

Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.

About the Role

As an Applied AI Engineer you will 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.

You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations.

This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.

This role is based in Abu Dhabi, UAE. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees

In this role, you will:

  • 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.

  • 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.

You’ll thrive in this role if you:

  • 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.

About OpenAI

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. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Engineering

Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.

Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.

Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.

About Traffic Analyst

The Traffic Analyst (paid media/performance specialist) is the professional responsible for creating, managing, and optimizing sponsored ad campaigns on digital platforms such as Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. They monitor conversion metrics, analyze return on investment (ROAS), perform A/B testing on ads and landing pages, and manage the marketing budget to maximize lead generation and qualified sales.

About Blockchain

The Blockchain area involves the development and implementation of secure and distributed transaction ledgers. Professionals in this field work with smart contract development, cryptography, consensus algorithms, and platforms such as Ethereum, Hyperledger, and Solana, ensuring security and decentralization for various types of applications.

About Advertising

The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.

About Customer Service

The Customer Service / Client Relations area is essential for ensuring customer satisfaction, retention, and a good relationship. Professionals in this field are the primary interface for communication, handling inquiries, requests, feedback, and ensuring a high-quality day-to-day experience. Skills in communication, problem-solving, empathy, and patience are indispensable.

Career Guides

Technology Career Guide

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Agile and Project Management in Today's Market

1. Move Beyond "Doing Agile": Deliver Real Value

One of the biggest mistakes candidates make in interviews for Agile roles is focusing too much on ceremonies (Dailies, Plannings, Retrospectives) and forgetting their actual purpose. Recruiters from global tech companies want to know how you eliminated bottlenecks and boosted team efficiency.

"True Agile success isn't measured by how many practices you implement, but by how much value you deliver to the customer and how quickly you do it."

Instead of writing "facilitated Scrum ceremonies" on your resume, use a results-driven approach: "Reduced team Cycle Time by 20% by identifying and removing bottlenecks in the value stream."

2. Certifications That Actually Bypass the ATS

While practical experience is the ultimate deciding factor, Applicant Tracking Systems (ATS) used by top US companies (like Greenhouse, Ashby, and Workday) filter resumes strictly through keywords. Holding the right certifications ensures you pass this first robotic barrier and get your profile in front of a human recruiter.

  • Professional Scrum Master (PSM I, II) by Scrum.org: Highly respected because it doesn't require renewal and features a rigorous, Scrum Guide-based exam.
  • Project Management Professional (PMP) by PMI: The gold standard for traditional, predictive, and hybrid Project Management.
  • PMI Agile Certified Practitioner (PMI-ACP): Excellent for demonstrating broad knowledge across multiple Agile frameworks (Scrum, Kanban, Lean).
  • SAFe (Scaled Agile Framework): Absolutely essential if you are targeting Enterprise-level corporations that have scaled Agile across thousands of employees.

3. Mastering Flow Metrics and Tools (Hard Skills)

The modern Agile professional must be data-driven. Companies offering six-figure compensation expect you to extract actionable insights from tools like Jira, Confluence, or Azure DevOps.

During technical interviews, be prepared to discuss how you utilize flow metrics, such as:

  • Lead Time and Cycle Time: To measure efficiency and the actual time it takes to deliver requests.
  • Throughput: The number of work items completed in a given timeframe.
  • Cumulative Flow Diagram (CFD): To visually identify bottlenecks in the workflow.
  • OKRs (Objectives and Key Results): To align the development team's daily work with the company's high-level strategic goals.

4. Soft Skills and Conflict Resolution in Async Teams

In global, remote-first, and asynchronous environments, communication is the biggest challenge. A top-tier Project Manager or Scrum Master acts as a shield for the tech team and a bridge for stakeholders.

Demonstrate emotional intelligence, empathy, and negotiation skills. You will often face situational questions like: "How would you handle a Product Owner who constantly changes the Sprint scope mid-cycle?" Your answer should highlight peaceful, data-driven negotiation focused on business impact and team predictability.

Conclusion: Your Competitive Edge

To land premium Project Management and Agile roles, you must position yourself as a strategic business partner, not just a process enforcer. Understand the product, master the metrics, and know how to guide people towards continuous improvement.

References & Useful Links