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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 Marketing

The Marketing area is strategic for the growth and positioning of any company. It encompasses traditional marketing, brand management, market research, trade marketing, product marketing, and market intelligence. Marketing professionals are responsible for planning and executing strategies that connect brands to their target audience.

Key skills include brand management, market research, competitive analysis, product marketing, trade marketing, pricing, relationship marketing, and channel development. Knowledge of research tools (Nielsen, Kantar, Ipsos), BI, and advanced spreadsheets is a differentiator.

Marketing professionals in technology companies are highly valued, especially those who master product marketing, go-to-market strategy, and data-driven marketing. The field offers opportunities from analyst to CMO, with a focus on growth, brand positioning, 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).

About Business Intelligence

Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.

Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.

BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

About Content Manager

The Content Manager is the professional responsible for leading the entire content strategy, production, and management of an organization. They define the editorial strategy, coordinate writing teams, and ensure content aligns with business goals and brand identity.

Key skills include content strategy, editorial planning, content audit, buyer persona, customer journey, content ops, content governance, performance metrics (ROI, engagement, organic traffic), and team management. Knowledge of WordPress, Contentful, Notion, and analytics tools is a differentiator.

Content Managers in technology companies are highly valued, especially those who can align content with conversion funnels, lead multidisciplinary teams, and use data to optimize editorial strategy. The field offers opportunities from content manager to head of content, with a focus on strategy, quality, and scale.

Career Guides

Technology Career Guide

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

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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

The Audiovisual Revolution in the Digital Age

Discover the skills, cloud tools, and strategic mindsets that tech giants, global agencies, and startups demand from video professionals in 2026.

The audiovisual market has undergone a radical transformation. The era when the best opportunities were restricted solely to traditional film studios or television networks is over. Today, the massive volume of premium hiring—including 100% remote positions and six-figure compensation packages—comes from tech companies, digital product startups, Growth Marketing agencies, and streaming-focused production houses.

To stand out in this new landscape, it is no longer enough to just "know how to cut video." The modern professional must be a visual problem solver, possessing a deep understanding of audience retention, cross-platform formats, and cloud-based workflows.

1. Master Cloud Workflows and Collaboration

If you are looking for a global remote position, the first barrier you will face is infrastructure. International production companies and tech startups no longer ship external hard drives via mail. They require candidates who know how to operate seamlessly within real-time review and collaboration ecosystems.

  • Frame.io: It has become the industry standard (now natively integrated into Adobe). Knowing how to manage real-time feedback and version control using Frame.io is an absolute prerequisite for senior editors.
  • Proxy Workflows: Mastering the creation and editing of proxies in Premiere Pro or DaVinci Resolve is non-negotiable for anyone editing 4K/6K footage remotely on standard internet connections.
"The ability to collaborate asynchronously and manage media in the cloud is no longer a perk, but the backbone of modern post-production teams." — Frame.io Insider

2. Embrace Integrated Artificial Intelligence

The fear of being replaced by AI is common, but corporate reality tells a different story: companies are actively hiring professionals who leverage AI to multiply their productivity. Tech recruiters are looking for talent who can automate tedious tasks and focus on high-level art direction.

  • Generative AI: Tools like Runway Gen-2, Midjourney, and Adobe Firefly are being used to create storyboards, expand backgrounds (Generative Fill), and generate auxiliary assets for Motion Graphics on the fly.
  • Audio and Roto AI: Using tools like Adobe Podcast AI for one-click audio cleanup and DaVinci Resolve's Magic Mask for automatic rotoscoping reduces hours of manual labor to mere minutes. Highlight these efficiency gains on your resume.

3. Your Portfolio is Your Ultimate Currency

In the audiovisual universe, your text-based resume matters far less than your Showreel. However, the most common mistake is creating a Reel filled only with pretty pictures and upbeat music, devoid of context.

According to hiring guidelines from top agencies listed on Motionographer, a top-tier portfolio must feature:

  1. The "Breakdown": Don't just show the final render. Show the layers, the color correction (before/after), or the raw shapes in After Effects. Prove that you are the architect behind the work.
  2. Focus on Results: If a video you edited for a TikTok Ads campaign increased conversion rates by 30%, state that clearly in the project description. Data-driven results secure B2B contracts.
  3. The Right Platforms: Forget Google Drive links. Host your work on Vimeo (for high-quality playback without ads) or Behance (for detailed project case studies). Even better: have your own dedicated website.

4. Soft Skills and B2B Dynamics

Video editors and motion designers often work in silos, but in modern tech companies, they are fully immersed in agile methodologies (Scrum/Kanban). You will need to interact daily with Copywriters, Product Managers, and Growth Analysts.

Knowing how to receive critical feedback without taking it personally, understanding the difference between a "technical revision" and a "strategic revision," and communicating rendering deadlines clearly are the soft skills that guarantee your retention in high-paying remote roles.

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