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Chatgpt Engineer Jobs in California (NOW HIRING)

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations ...

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations ...

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations ...

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations ...

ChatGPT Work * Claude Code * Claude Cowork * AI Agents * Workplace Connectors Preferred Qualifications * Professional experience in software engineering, DevOps, SRE, cloud, platform, or ...

Showing results 41-60

Chatgpt Engineer information

What is a ChatGPT engineer?

ChatGPT Engineers are specialized software engineers who design, develop, and optimize applications or solutions that utilize OpenAI's ChatGPT models. Their work often includes integrating ChatGPT into products, fine-tuning models for specific use-cases, and ensuring responsible and effective AI deployment. They also handle tasks such as prompt engineering, API integration, and system maintenance to deliver high-quality conversational AI experiences. Additionally, ChatGPT Engineers collaborate with data scientists, product managers, and UX designers to enhance and monitor AI performance.

What are the key skills and qualifications needed to thrive as a ChatGPT engineer?

To thrive as a ChatGPT Engineer, you need strong programming skills in Python, a solid understanding of machine learning fundamentals, and experience with large language models, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, cloud platforms such as AWS or Azure, and knowledge of APIs or deployment pipelines is typically required. Excellent problem-solving, collaboration, and clear communication are vital soft skills for integrating AI solutions into real-world applications and working with cross-functional teams. These skills are crucial for developing robust, scalable, and user-friendly AI systems that meet business needs and ensure ethical, responsible use of language models.

What are some common challenges ChatGPT engineers face when deploying conversational AI models in production environments?

ChatGPT Engineers often encounter challenges such as optimizing model performance for real-time responses, ensuring data privacy and security, and fine-tuning models to handle ambiguous or sensitive user queries effectively. They must balance delivering accurate, context-aware answers while minimizing bias and maintaining compliance with organizational policies. Additionally, engineers regularly collaborate with product managers, UX designers, and data scientists to refine conversational flows and continuously improve user experience.

What is the difference between Chatgpt Engineer vs AI Developer?

AspectChatgpt EngineerAI Developer
Required CredentialsBachelor's in CS, AI, or related fields; experience with NLP and API integrationBachelor's or higher in CS, AI, or related fields; strong programming and ML skills
Work EnvironmentTech companies, startups, AI service providers; focus on chatbot and NLP solutionsResearch labs, tech firms, startups; broader AI application development
Employer & Industry UsagePrimarily in AI-driven customer support, chatbots, and NLP toolsAcross various sectors including healthcare, finance, and tech for AI solutions

While both roles involve AI and NLP, Chatgpt Engineers specialize in developing and optimizing ChatGPT-based applications, whereas AI Developers work on broader AI projects across multiple domains. The roles overlap in skills but differ in focus and application areas.

How much do Chatgpt engineers make?

ChatGPT engineers, who develop and optimize AI language models, typically earn salaries ranging from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can earn higher compensation, often including bonuses and stock options.

What cities in California are hiring for Chatgpt Engineer jobs?

Cities in California with the most Chatgpt Engineer job openings:

Infographic showing various Chatgpt Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Software Engineer, Encryption

SupportFinity™

San Francisco, CA • On-site

$120 - $160/hr

Other

Posted 18 days ago


Job description

About The Team

The Encryption team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world‑class security features to users so their private data remains private, even from OpenAI. We use technologies like client‑side encryption, hardware security modules (HSMs), and trusted execution environments (TEEs), and design modern crypto, storage, and authentication protocols to ship product features across ChatGPT and our future consumer devices.

About The Role

We’re looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT and our future consumer devices.

In This Role, You Will
  • Ship fast while balancing difficult trade‑offs in complex domains
  • Build core abstractions for encrypted storage, sync, and recovery, especially when paired with inference in trusted execution environments
  • Build product features for authentication, encryption, and storage across ChatGPT and future consumer devices
  • Build and maintain infrastructure for hardware security modules (HSMs)
  • Integrate with private inference and computing infrastructure
  • Operate systems at scale with high reliability, including an on‑call rotation
  • Collaborate with a diverse set of cross‑functional teams across product, engineering, security, safety, policy, and legal
You Might Thrive In This Role If You
  • Care deeply about user privacy and security
  • Have 5+ years of experience in professional software engineering
  • Have experience designing end‑to‑end encryption protocols (e.g. Labyrinth)
  • Have experience building intuitive authentication experiences for users
  • Have experience building and scaling HSM infra under strict security requirements (e.g. Juicebox)
  • Take pride in building and operating scalable, reliable, secure systems
  • Can collaborate well and drive alignment in the face of difficult trade‑offs
  • Are comfortable with ambiguity and rapid change
Workplace & Location

This role may be based in San Francisco, CA or remotely in the US with occasional travel to our HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

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.

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.

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