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Generative Ai Engineer Jobs in California (NOW HIRING)

GEI Consultants

AI Engineer

Pasadena, CA · On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Rancho Cordova, CA · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Pasadena, CA · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Rancho Cordova, CA

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing, developing, and optimizing generative AI models and ...

Redolent, Inc.

AI Engineer with Java background

Sunnyvale, CA · On-site

$61.75 - $84.50/hr

Job Title: AI Engineer (Java Background) Location: Sunnyvale, CA (Hybrid) Employment Type ... Design, develop, and deploy AI-powered applications and solutions using modern LLMs and Generative ...

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented ... Develop Generative AI solutions, including chatbots, summarization, and content creation tools.

Avathon

AI Engineer

Pleasanton, CA · On-site

Learn more at: avathon.com 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 ...

Avathon

AI Engineer

Pleasanton, CA · On-site

Learn more at: avathon.com 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 ...

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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 Sep 5, 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 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 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 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.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

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 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Altimate Al | Founding Generative AI Engineer

EarlyStage Partners

Sunnyvale, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Who are we?
Mission
Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.
By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article.
Team
As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios.
What are we looking for?
We're in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide.
Professional Experience:
  • 5+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects
  • Track record of successfully deploying ML/AI systems in production environments
  • Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required:
  • Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn)
  • Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
  • API development expertise (FastAPI) and production deployment experience
  • Proven experience with prompt engineering best practices and LLM evaluation metrics

Technical Skills Preferred:
Infrastructure & Deployment
  • Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
  • Experience with observability and monitoring of LLM applications
  • Proficiency in model compression, distillation, and deployment at scale

Model Development & LLMs
  • Expertise in semantic search and embedding models
  • Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
  • Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training

Why you should join Altimate AI?
Projects You'll Work On:
  • Advanced AI Agent Architecture: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
  • Large-Scale RAG Systems: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases.
  • Model Optimization & Deployment: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
  • Scalable AI Infrastructure: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration.
  • Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact:
  • Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation.
  • Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools.
  • Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices.
  • Open Source Contribution: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community.
  • Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems.
What We Offer
  • Competitive salary and equity
    • Base Salary Range: $50,000 - $120,000 [influenced by your expertise, how the interview goes, and how well you match the role]
    • Equity: 0.1% - 0.4%
  • Access to cutting-edge AI infrastructure and resources
  • Team offsite(US) and opportunities to attend and present at leading industry conferences (across the world)
  • Learning budget for AI courses, books, and computing resources
  • Dynamic and intellectually stimulating work environment with a team of talented engineers
  • Opportunities to shape the direction of the company and leave a lasting impact

Apply