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Generative Ai Engineer Jobs in California (NOW HIRING)

Numos AI

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for ... Experience working with LLMs and generative AI systems * Strong Python skills with frameworks like ...

Avathon

AI Engineer

Pleasanton, CA

$116K - $159K/yr

About the Role Senior AI Engineer - Generative AI & LLMs At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain ...

Icwgroup

Applied AI Engineer

San Diego, CA

Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing in production environments. * Collaborate with cloud engineering, AI, and ML Ops teams to ...

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing in production environments. * Collaborate with cloud engineering, AI, and ML Ops teams to ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

Partner Engineer, Generative AI Responsibilities: * Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta's Llama and other state of the art LLMs

Icwgroup

Applied AI Engineer

San Diego, CA · On-site

Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing in production environments. * Collaborate with cloud engineering, AI, and ML Ops teams to ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in California

Generative Ai Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do generative ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for generative ai engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in California? The most popular types of Generative Ai Engineer jobs in California are:
What are popular job titles related to Generative Ai Engineer jobs in California? For Generative Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in California look for? The top searched job categories for Generative Ai Engineer jobs in California are:
What cities in California are hiring for Generative Ai Engineer jobs? Cities in California with the most Generative Ai Engineer job openings:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in California as of August 2026, with employment types broken down into 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Senior AI Engineer

Numos AI

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 20 days ago

Job description

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for finance. You'll develop systems that go beyond copilots and actually execute work, combining reasoning, context, and action inside real enterprise workflows.
What you'll do
  • Build and deploy AI systems that power outcome-driven automation
  • Develop agentic workflows that can plan, reason, and take action across systems
  • Integrate LLMs into production environments with reliability and control
  • Work with structured and unstructured data to ground models in real business context
  • Partner with product to ship end-to-end capabilities

What we're looking for
  • Experience working with LLMs and generative AI systems
  • Strong Python skills with frameworks like PyTorch or TensorFlow
  • Familiarity with AI agent frameworks and orchestration patterns
  • Experience integrating AI into enterprise software environments

Why Numos
You'll be building AI that doesn't just assist, but delivers outcomes. The work is applied, the systems are complex, and the bar for reliability is high.

Apply