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Backend Software Engineer, Chatgpt Imagegen

openai

Híbrido San Francisco
Development AI

Job Score

100 pts
Hybrid model (+80) Development (+10) AI (+10)

About the Team

The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal image models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows.

We work at the intersection of research, infrastructure, and product to build the systems that power image generation at global scale. Our team partners closely with researchers, product engineers, designers, and platform teams to bring state-of-the-art image capabilities to millions of users while continuously pushing the boundaries of what AI-powered creation can do.

About the Role

We are looking for an experienced Backend Engineer to join the Image Generation team and help build the systems that power image creation and editing across ChatGPT.

You'll work on the core backend infrastructure that enables users to generate, edit, and iterate on visual content using cutting-edge multimodal AI models. This includes building highly scalable services, orchestration systems, APIs, storage platforms, and distributed infrastructure that support billions of image generations and editing workflows. You'll partner closely with product, research, and mobile teams to transform breakthrough AI capabilities into reliable, performant experiences used by millions around the world.

In this role, you will:

  • Design, build, and operate backend systems that power image generation and image editing experiences in ChatGPT.

  • Develop scalable APIs, services, and infrastructure that support multimodal AI workflows.

  • Optimize reliability, latency, throughput, and cost across large-scale distributed systems.

  • Partner with researchers to productionize new image generation capabilities and bring them to users quickly and safely.

  • Collaborate closely with Android, iOS, web, and full-stack engineers to build seamless end-to-end product experiences.

  • Drive technical architecture decisions across storage, serving, orchestration, and platform systems.

  • Use data and experimentation to identify opportunities for improving user experience, performance, and system efficiency.

  • Help shape engineering culture through technical leadership, mentorship, and operational excellence.

You might thrive in this role if you:

  • Have experience building and operating large-scale backend or distributed systems.

  • Have strong proficiency in modern backend technologies and cloud-native architectures.

  • Enjoy working across the stack and partnering closely with product and research teams.

  • Have experience designing APIs, service-oriented architectures, and highly reliable production systems.

  • Are highly analytical and enjoy using data to inform technical and product decisions.

  • Have a strong sense of ownership and are comfortable navigating ambiguity in fast-moving environments.

  • Are excited by multimodal AI and the opportunity to help define the infrastructure powering the future of visual creation.

  • Have a deep curiosity about how cutting-edge AI research can be translated into products that reach millions of users.

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.

About Software Development

Software Development is one of the most dynamic and constantly evolving fields in the job market. Professionals in this area are responsible for creating, maintaining, and optimizing web, mobile, and desktop applications that impact millions of users daily.

Key languages and frameworks include JavaScript (React, Node.js, Vue.js), Python (Django, Flask), Java (Spring), PHP (Laravel), and TypeScript. Demand for full-stack developers continues to grow, especially in tech companies and startups.

Salaries range from entry-level to senior positions, with growing opportunities for remote work and international freelancing.

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 Office Suite

Proficiency in Office Suite is an essential skill for professionals across various areas. Microsoft Excel, Word, PowerPoint, and Outlook are fundamental tools in the corporate day-to-day, while Google Workspace and other collaborative solutions are gaining increasing space.

Key skills include advanced Excel (formulas, pivot tables, Power Query, VBA/Macros), Word (formatting, mail merge, styles), PowerPoint (presentation design, animations), Outlook (email and calendar management), and collaborative tools like Google Sheets, Notion, and Airtable.

Professionals with advanced Office Suite proficiency are valued in administrative, financial, data, and operational areas. Microsoft Office Specialist (MOS) certifications are important differentiators. The combination of advanced Excel with data analysis skills is one of the most in-demand competencies in the market.

About Social Media

The Social Media area is one of the most dynamic and constantly evolving fields in digital marketing. Social media professionals are responsible for creating, managing, and optimizing brand presence on digital platforms, building engagement and community with the target audience.

Key skills include social media management (Instagram, TikTok, LinkedIn, Facebook, YouTube), social media content creation, community management, paid social media (Meta Ads, LinkedIn Ads, TikTok Ads), metrics analysis, and strategic planning. Tools like Hootsuite, Sprout Social, Buffer, Later, and analytics platforms are essential.

Social media professionals in technology companies are highly valued, especially those who master paid social, social media analytics, and content strategies for different platforms. The field offers opportunities from analyst to head of social media, with a focus on growth, engagement, and return on investment.

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.

About Web Designer

The Web Designer is the professional responsible for creating visual interfaces for websites, web applications, and landing pages, combining aesthetics, usability, and user experience. They transform business needs into functional and responsive layouts that communicate brand identity.

Key skills include UI design, responsive design, prototyping (Figma, Sketch, Adobe XD), wireframing, design systems, accessibility (WCAG), information architecture, and basic HTML/CSS knowledge. Knowledge of UX design, motion design, and front-end is a differentiator.

Web Designers in technology companies are highly valued, especially those who master design systems, design tokens, and can create interfaces that convert and engage. The field offers opportunities from junior web designer to product designer and design lead.

About Fullstack

Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.

Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.

Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.

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Communication Career Guide

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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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Expert Tip

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).