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Applied Ai Engineer

openai

Híbrido Delhi, India
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 can be based in Delhi, Mumbai or Bangalore. 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 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 Web Master

The Web Master is the professional responsible for maintaining, securing, and ensuring the technical performance of websites and web applications. They manage servers, hosting infrastructure, uptime monitoring, and ensure everything runs fast and reliably.

Key skills include server management (Apache, Nginx), hosting (AWS, Google Cloud, Azure), CDN (Cloudflare), SSL, DNS, web security (WAF, firewall), performance (Core Web Vitals, cache, compression), and versioning (Git, CI/CD). Knowledge of Docker, WordPress, cPanel, and monitoring (Sentry, New Relic) is a differentiator.

Web Masters in technology companies are highly valued, especially those who master DevOps, SRE, and can guarantee uptime and performance at scale. The field offers opportunities from junior webmaster to SRE and infrastructure engineer, with a focus on reliability, security, and speed.

About Sales

The Sales area is responsible for generating revenue and expanding the customer base. B2B and B2C sales professionals are fundamental for sustainable growth of any organization.

Key skills include prospecting, negotiation, CRM (Salesforce, HubSpot), sales enablement, and value consulting. The consultative and data-driven approach is increasingly valued.

Consultative sellers and senior Sales Managers have very high earning potential, with OTE (On-Target Earnings) that can exceed monthly salaries in technology companies.

About UI Design

The User Interface (UI) Design area focuses on creating and designing all the visual elements that users interact with in a digital product. This includes screens, buttons, icons, typography, color palettes, and responsive layouts, ensuring an aesthetically pleasing, consistent, and easy-to-use interface. Skills in tools like Figma and knowledge of design systems are essential.

About SEO Analyst

The SEO Analyst is the professional responsible for optimizing websites for search engines, increasing organic visibility and qualified traffic. With the growing importance of digital marketing, SEO professionals are fundamental to any online presence strategy.

Key skills include on-page and off-page SEO, technical SEO, keyword research, SEO audits, link building, optimized content creation, and metrics analysis. Tools like Google Search Console, Google Analytics, Ahrefs, Semrush, Moz, and Screaming Frog are essential for daily work.

SEO analysts in technology companies are highly valued, especially those who master technical SEO, Core Web Vitals, and data-driven content strategies. The field offers opportunities from junior analyst to head of SEO, with a focus on organic growth, domain authority, and return on investment.

About Customer Success

Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.

Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.

CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

Read full guide →

Design Career Guide

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

Read full guide →

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

The Evolution of Support and Customer Success

The Evolution of Support and Customer Success: Opportunities, Tools, and the New Professional Profile

Discover how customer service evolved from a cost center into the ultimate growth and retention engine for the world's leading tech and SaaS companies.

The Current Landscape: From Cost Center to Revenue Engine

Historically, customer support was viewed by companies merely as a reactive department, focused on troubleshooting technical issues and closing tickets. However, with the consolidation of the SaaS (Software as a Service) business model and the subscription economy, the game has drastically changed.

Today, Customer Experience (CX) and Customer Success (CS) are the pillars of a company's financial sustainability. The logic is simple: in a highly competitive market, the Customer Acquisition Cost (CAC) is incredibly high. Losing a customer (Churn) means bleeding money. The modern support professional is, in reality, a strategist focused on retention, account expansion (Upsell/Cross-sell), and ensuring that the client achieves their desired outcomes using the product.

"Acquiring a new customer is anywhere from five to 25 times more expensive than retaining an existing one." — Harvard Business Review

Customer Support vs. Customer Success: Understanding the Difference

Although both areas walk hand-in-hand, their roles and success metrics in the job market are distinct. Understanding this difference is crucial for anyone looking to enter or advance in this career:

  • Customer Support: Predominantly reactive and transactional. The focus is on the speed and efficiency of issue resolution. Common metrics include First Response Time (FRT), Mean Time to Resolution (MTTR), and Customer Satisfaction Score (CSAT).
  • Customer Success: A proactive and long-term function. The goal is to ensure the customer extracts maximum value from the product. CS professionals analyze the Health Score, conduct Quarterly Business Reviews (QBRs), and directly target Net Retention Revenue (NRR) while combating Churn.

Market Opportunities and Global Remote Work

The global market for B2B Support and CS professionals is hotter than ever. Startups and major international corporations are massively hiring talent worldwide to provide 24/7 coverage across different time zones.

Opportunities range from entry-level roles, such as Customer Support Representative (CSR), to high-level executive positions like Key Account Manager, Implementation Specialist, Customer Success Manager (CSM), and Head of CX. For professionals with native or fluent English, "Global Remote" and "US Remote" positions offer highly competitive six-figure compensation packages, equity, and aggressive benefits.

Tech Stack: The Tools You Must Master

To pass through the rigorous ATS (Applicant Tracking Systems, like Greenhouse or Ashby) used by top-tier tech companies, your resume must showcase familiarity with the platforms that orchestrate the customer journey. The most demanded tools include:

  • Zendesk and Intercom: The global leaders in ticket management, asynchronous chat, and omnichannel support automation.
  • Salesforce and HubSpot: Essential CRMs (Customer Relationship Management) to maintain data history and alignment between Sales and Support teams.
  • Jira and Confluence: Atlassian tools crucial for escalating frontline bugs directly to the Engineering and Product teams.
  • Gainsight and Totango: Enterprise-grade platforms specifically built for Customer Success, used to monitor portfolio health predictively.

The Profile of the Modern CX Professional

The stereotype of the agent reading from a rigid script is a thing of the past. Tech recruiters are looking for a profile that blends emotional intelligence with analytical (data-driven) capabilities. The most valued competencies today are:

  1. Empathy and Resilience: The ability to de-escalate frustrated clients and turn crises into loyalty-building opportunities.
  2. Flawless Asynchronous Communication: Especially in remote work environments, clarity in writing emails, documentation, and chat threads is non-negotiable.
  3. Data Literacy: Knowing how to read dashboards, spot where users are getting stuck in the product, and suggest improvements based on hard data.
  4. Product Vision: Modern support acts as the primary feedback loop between the end-user and the Engineering and UX Design teams.