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 28+ Genai Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 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).
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
- Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 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.With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.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
- Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
- Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
- Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
- Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 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).
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
- Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 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.With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.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
- Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
- Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
- Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
- Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
See All 28 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
- Google12
- Roblox2
- DeepMind2
- Micron Technology2
- AMD1
Top Industries Hiring
- Technology & Software
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, Roblox, and DeepMind, based on current listings on Migrate Mate as of November 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, Sunnyvale, and San Jose 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 40% of genai engineer openings tied to California are remote or hybrid as of November 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 28 Genai Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Genai Engineer Jobs