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Chatgpt Engineer Jobs in California (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Sunnyvale, CA · On-site

$90K - $140K/yr

... developer tooling) • Strong analytical skills, with hands-on experience in using ML models • ... ChatGPT, Claude, etc.) into applications to deliver AI-powered functionality • Apply ML models ...

Accellor

AI Principal Engineer

San Francisco, CA

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy ... Guide engineering decisions involving CUDA, Triton, NCCL/RCCL, GPU profiling, memory pressure ...

Accellor

AI Principal Engineer

Mountain View, CA · On-site

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy ... Guide engineering decisions involving CUDA, Triton, NCCL/RCCL, GPU profiling, memory pressure ...

Accellor

AI Principal Engineer

San Francisco, CA · On-site

$180 - $240/hr

... ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes ... Guide engineering decisions involving CUDA, Triton, NCCL/RCCL, GPU profiling, memory pressure ...

Accellor

AI Principal Engineer

San Francisco, CA · On-site

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy ... Guide engineering decisions involving CUDA, Triton, NCCL/RCCL, GPU profiling, memory pressure ...

Accellor

AI Principal Engineer

Mountain View, CA · On-site

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy ... Guide engineering decisions involving CUDA, Triton, NCCL/RCCL, GPU profiling, memory pressure ...

YO AI Labs

DevOps Expert - Remote

Los Angeles, CA · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

YO AI Labs

DevOps Expert - Remote

Palo Alto, CA · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

Accellor

AI Principal Engineer

Mountain View, CA

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy ... Guide engineering decisions involving CUDA, Triton, NCCL/RCCL, GPU profiling, memory pressure ...

YO AI Labs

DevOps Expert - Remote

San Jose, CA · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

YO AI Labs

DevOps Expert - Remote

San Francisco, CA · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

OpenAI

Software Engineer, Ad Formats

San Francisco, CA · On-site

$230K - $385K/yr

Define how ads are structured, rendered, validated, and delivered across ChatGPT and other OpenAI ... Maintain high engineering rigor through strong testing, documentation, observability, and ...

CoreWeave

Senior Software and AI Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing ... Programming Experience: 7+ years of professional programming experience in languages such as ...

CoreWeave

Senior Software and AI Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing ... Programming Experience: 7+ years of professional programming experience in languages such as ...

jobr.pro

Software Engineer, Ad Formats

San Francisco, CA · On-site

$230 - $385/hr

Define how ads are structured, rendered, validated, and delivered across ChatGPT and other OpenAI ... Maintain high engineering rigor through strong testing, documentation, observability, and ...

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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:

Chatgpt Engineer jobs near you
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.

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Los Angeles, CA • Remote

$30 - $80/hr

Full-time

Posted 11 days ago

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.