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Generative Ai Developer Jobs in California (NOW HIRING)

RocketRide Inc.

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

Demonstrable understanding of LLMs, generative AI applications, and agentic AI concepts. * Public ... Build your network within SF's AI developer scene and connect with our growing open source ...

Info Way Solutions

Generative AI Architect

San Jose, CA · On-site

$73.75 - $97.25/hr

Required : • Bachelor's or Master's in Computer Science, Data Science, AI/ML, or related field. • 7+ years of experience in data engineering/ML/AI, with 2+ years hands-on in Generative AI ...

C3 AI

Product Manager - C3 Generative AI

Redwood City, CA · On-site

$132K - $194K/yr

You will work closely with engineering, data science, product marketing, and customer-facing teams ... C3 Generative AI is an enterprise application powered by patented agent orchestration technology ...

C3 AI

Product Manager - C3 Generative AI

Redwood City, CA · On-site

$132K - $194K/yr

You will work closely with engineering, data science, product marketing, and customer-facing teams ... C3 Generative AI is an enterprise application powered by patented agent orchestration technology ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Sep 14, 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 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 the key skills and qualifications needed to thrive as a generative AI developer?

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.

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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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 August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $92,966 per year, or $44.7 per hour.

Principal AI Engineer - Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS

Irvine, CA • On-site

Central Business Solutions, Inc
See more jobs at Central Business Solutions, Incexternal

Other

Re-posted 8 days ago

Job description

Principal AI Engineer – Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS
  • Irvine, CA

Job Title: Principal AI Engineer – Agentic AI / Generative AI

Location: Irvine, CA (Onsite Preferred / Hybrid)

Employment Type: Contract to Hire

About the Role

We are seeking a Principal AI Engineer to lead the design and development of next-generation Agentic AI solutions for enterprise applications. This role requires a highly experienced AI engineer with deep expertise in Large Language Models (LLMs), AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will drive the architecture, development, deployment, and optimization of intelligent AI agents that automate complex business workflows, power enterprise copilots, and integrate seamlessly with enterprise platforms.

Key Responsibilities AI Agent Development
  • Design, develop, and deploy AI Agents and Multi-Agent Systems for enterprise applications.
  • Build intelligent AI copilots capable of reasoning, planning, and executing complex business workflows.
  • Develop agent orchestration frameworks using modern AI technologies.
  • Implement memory, planning, tool usage, and autonomous decision-making capabilities.
Generative AI Engineering
  • Design production-grade Generative AI applications using Large Language Models.
  • Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
  • Develop prompt engineering strategies and context management pipelines.
  • Fine-tune and optimize LLM-powered applications for enterprise use cases.
AI Architecture
  • Architect scalable AI platforms supporting multiple enterprise applications.
  • Design AI microservices and API-driven architectures.
  • Build AI workflows integrating structured and unstructured enterprise data.
  • Ensure high availability, scalability, security, and observability of AI systems.
Cloud & MLOps
  • Deploy AI applications on AWS using cloud-native services.
  • Build containerized AI applications using Docker and Kubernetes.
  • Develop CI/CD pipelines for AI model deployment.
  • Monitor model performance, drift, latency, and reliability.
Enterprise Integration
  • Integrate AI Agents with enterprise applications including CRM, ERP, ITSM, and internal APIs.
  • Build AI-powered workflow automation solutions.
  • Collaborate with product, engineering, and business teams to deliver enterprise AI capabilities.
Technical Leadership
  • Provide technical leadership across AI initiatives.
  • Mentor engineers on AI architecture and best practices.
  • Conduct design reviews, code reviews, and architecture reviews.
  • Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
  • Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field.
  • 12+ years of software engineering experience.
  • 5+ years building AI/ML applications.
  • Strong hands-on experience developing AI Agents and Agentic AI solutions.
  • Experience building production-grade Generative AI applications.
  • Strong Python programming expertise.
  • Experience deploying AI applications in AWS.
  • Excellent architecture and system design skills.
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