Genai Engineer Jobs in California
Genai Engineer jobs in California are among the most active in the country, concentrated in enterprise AI, developer tooling, foundation model development, and applied machine learning across the technology and cloud services sectors, with openings at every level from associate to principal. The largest hiring hubs are San Francisco, San Jose, and Los Angeles, where companies like Google, Meta, and Salesforce maintain deep engineering footprints and consistently recruit across generative AI disciplines. The most in-demand specialties are large language model fine-tuning, retrieval-augmented generation architecture, and AI platform engineering. Find a role that fits below and apply directly.
Find Genai Engineer JobsOverview
Showing 5 of 33+ Genai Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
See All 33 Genai Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Genai Engineer JobsGenai Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Genai Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Google10
- Capital One5
- Youtube3
- Micron Technology2
- AMD1
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Banking & Financial Services
What California Employers Look For
The qualifications that appear most often in genai engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience building or fine-tuning large language models for production use
- Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow
- Experience deploying generative AI systems on major cloud platforms like AWS, GCP, or Azure
- Strong understanding of retrieval-augmented generation, prompt engineering, and vector databases
- Demonstrated ability to evaluate model outputs for accuracy, safety, and responsible AI principles
Genai Engineer Jobs in California: Frequently Asked Questions
How do you become a genai engineer in California?
Genai engineering has no state-issued license in California, so the path runs through education and demonstrated technical work. Most California employers expect a bachelor's degree in computer science, artificial intelligence, or a related field, though strong master's graduates are preferred at many Bay Area and Los Angeles firms. Building a portfolio of hands-on projects involving large language models, fine-tuning pipelines, or RAG systems is the most direct way to stand out when applying.
Which companies hire genai engineers in California?
Employers hiring genai engineers in California right now include Google, Capital One, and Youtube, based on current listings on Migrate Mate as of September 2026. California's concentration of foundation model labs, major cloud providers, and enterprise software companies makes it one of the deepest hiring markets for this role anywhere in the country.
Which California cities have the most genai engineer jobs?
Mountain View, San Jose, and Sunnyvale have the most genai engineer openings in California. San Francisco and San Jose dominate because the Bay Area houses the headquarters and primary engineering offices of the largest AI and cloud companies, while Los Angeles has grown into a secondary hub driven by media-tech, gaming, and a fast-expanding startup ecosystem building on generative AI.
Are there remote genai engineer jobs in California?
Yes, and more than most fields. About 17% of genai engineer openings tied to California are remote or hybrid as of September 2026, reflecting how much of the work happens in code, notebooks, and cloud environments. Roles focused on model evaluation, prompt engineering, and ML platform development tend to be the most remote-friendly, while positions requiring close collaboration with product teams or access to proprietary compute clusters are more often on-site.
How can I get hired as a genai engineer in California with little or no experience?
The most realistic entry path is an internship or new-graduate program at a California-based AI or cloud company, where rotations expose candidates to production model work quickly. Large California employers like Google, Meta, and Salesforce run structured new-grad and research residency programs that do not require prior professional experience. Candidates coming from adjacent roles such as data scientist, ML engineer, or backend software engineer also make successful lateral moves by building a public portfolio that demonstrates applied generative AI work, such as fine-tuned models or RAG pipelines hosted on a code repository.
Where can I find and apply to genai engineer jobs in California?
You can find and apply to genai engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the listings for roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 33 Genai Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Genai Engineer Jobs