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Generative Ai Developer Jobs in California (NOW HIRING)

Symhas

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

Generative AI Lead We are hiring a Generative AI Lead to spearhead AI innovation at our Pleasanton ... Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices * Build responsible ...

Writer

Software engineer, generative AI

San Francisco, CA · On-site

$111K - $304K/yr

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human ... Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

cyberThink, Inc.

AI Full Stack Developer

San Jose, CA · On-site

Job Summary We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic ...

New

Meta

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

... Generative AI product services and experiences, and taking Large Language Models (LLMs) from ... You will also represent Meta at developer conferences and events. You will be required to develop ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for generative ai developer in California is $44.70, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $54.09 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in California? For Generative Ai Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in California look for? The top searched job categories for Generative Ai Developer jobs in California are:
What cities in California are hiring for Generative Ai Developer jobs? Cities in California with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $92,966 per year, or $44.7 per hour.

Generative AI Lead

Symhas

Pleasanton, CA • On-site

$185K/yr

Other

Posted 20 days ago

Job description

Generative AI Lead

We are hiring a Generative AI Lead to spearhead AI innovation at our Pleasanton, CA office. You will lead a team building next-generation GenAI solutions — from LLM-powered applications to multimodal systems — and drive the AI strategy across the organization.

Key Responsibilities
  • Lead the design and delivery of Generative AI solutions across product lines
  • Evaluate and select appropriate foundation models (GPT-4, Claude, Gemini, Llama, etc.) for enterprise use cases
  • Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices
  • Build responsible AI frameworks including guardrails, bias detection, and explainability
  • Collaborate with executive leadership to define and execute the AI product strategy
  • Manage and mentor a team of AI engineers and researchers
Requirements
  • 10+ years of AI/ML or software engineering experience
  • Demonstrated expertise in building and deploying Generative AI applications at scale
  • Deep knowledge of transformer architectures, LLMs, and foundation models
  • Experience with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
  • Strong Python skills and familiarity with MLOps practices
  • US Green Card or Citizenship required
  • Must be willing to work onsite in Pleasanton, CA