AI Engineer Jobs in California
AI Engineer jobs in California are among the most active in the country, concentrated in technology, healthcare AI, autonomous systems, and enterprise software across experience levels from entry-level through principal and staff engineer. San Francisco, San Jose, and Los Angeles lead hiring volume, with major employers like Google, Meta, and Salesforce running significant AI engineering teams in the state. The most in-demand specialties include large language model development, machine learning infrastructure, and computer vision. Find a role that fits below and apply directly.
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Project description
Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights.
Responsibilities
-
Work closely with business team, business analysts, and architects and be able to quickly understand the new requirements and helps to identify the changes to the system.
-
Work closely on a day-to-day basis with development team, designers, copy writers and other IT teams.
-
The role develops and presents recommendations from analysis of current solution. Assist in design peer reviews, code peer reviews, build and unit test functional enhancements. Identify areas for code refactoring. Review and contribute to development process and procedures to assist in the continual improvement of the development team activities.
-
Be able to offer solutions and designs to solve process, project or program issues; provides recommendations to improve the efficiency and effectiveness. Defends a recommendation and can confidently support it.
-
Strong organization, communication, and interpersonal skills. Ability to communicate with business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal.
-
Must be able to exhibit technical thought leadership and excellent problem solving ability, with an aptitude for technical innovation.
Skills
Must have
Mandatory Skills Description:
-
5+ years of professional software development experience.
-
Strong backend development experience with Python with a track record of clean, maintainable, testable production code.
-
Production API design & delivery (FastAPI preferred), including versioning, documentation (OpenAPI/Swagger), and observability.
-
Cloud experience (AWS preferred) beyond core compute/storage/DB—e.g., eventing, queues, serverless, logging/monitoring, secrets.
-
Experience with AgentCore, AWS Neptune, Amazon API gateway.
-
Git workflows and CI/CD pipelines.
-
Debugging & problem-solving skills with strong ownership across the SDLC.
Generative AI & ML Requirements
-
Experience building agents.
-
Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval).
-
LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning.
Nice to have
-
Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).
-
Frontend development with React (TypeScript preferred) to build the application's UI (state management, routing, API integration, component testing).
-
Understanding of event-driven architectures.
Other
Languages
- English: B2 Upper Intermediate
Seniority
- Senior
LOCATION
Irvine, US, United States of America
Req. VR-123479
AI/ML
BCM Industry
22/06/2026
Req. VR-123479
Project description
Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights.
Responsibilities
-
Work closely with business team, business analysts, and architects and be able to quickly understand the new requirements and helps to identify the changes to the system.
-
Work closely on a day-to-day basis with development team, designers, copy writers and other IT teams.
-
The role develops and presents recommendations from analysis of current solution. Assist in design peer reviews, code peer reviews, build and unit test functional enhancements. Identify areas for code refactoring. Review and contribute to development process and procedures to assist in the continual improvement of the development team activities.
-
Be able to offer solutions and designs to solve process, project or program issues; provides recommendations to improve the efficiency and effectiveness. Defends a recommendation and can confidently support it.
-
Strong organization, communication, and interpersonal skills. Ability to communicate with business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal.
-
Must be able to exhibit technical thought leadership and excellent problem solving ability, with an aptitude for technical innovation.
Skills
Must have
Mandatory Skills Description:
-
5+ years of professional software development experience.
-
Strong backend development experience with Python with a track record of clean, maintainable, testable production code.
-
Production API design & delivery (FastAPI preferred), including versioning, documentation (OpenAPI/Swagger), and observability.
-
Cloud experience (AWS preferred) beyond core compute/storage/DB—e.g., eventing, queues, serverless, logging/monitoring, secrets.
-
Experience with AgentCore, AWS Neptune, Amazon API gateway.
-
Git workflows and CI/CD pipelines.
-
Debugging & problem-solving skills with strong ownership across the SDLC.
Generative AI & ML Requirements
-
Experience building agents.
-
Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval).
-
LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning.
Nice to have
-
Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).
-
Frontend development with React (TypeScript preferred) to build the application's UI (state management, routing, API integration, component testing).
-
Understanding of event-driven architectures.
Other
Languages
- English: B2 Upper Intermediate
Seniority
- Senior
LOCATION
Irvine, US, United States of America
Req. VR-123479
AI/ML
BCM Industry
22/06/2026
Req. VR-123479
See All 3,048+ AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple265
- NVIDIA133
- TikTok123
- Adobe82
- Google82
Top Industries Hiring
- Technology & Software1,524
- Electronics & Hardware452
- Artificial Intelligence271
- Banking & Financial Services155
- Science & Research127
What California Employers Look For
The qualifications that appear most often in AI engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing, training, and deploying machine learning models in production
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Experience with MLOps practices, model monitoring, and CI/CD pipelines for ML systems
- Strong understanding of data engineering fundamentals, including feature engineering and data pipelines
AI Engineer Jobs in California: Frequently Asked Questions
How do you become a ai engineer in California?
There is no state-issued license required to work as an ai engineer in California. Most hiring managers expect at minimum a bachelor's degree in computer science, electrical engineering, or a closely related field, though many California employers in competitive markets weight demonstrated project work and published model contributions heavily. Building a portfolio of end-to-end ML projects and contributing to open-source repositories are the most effective ways to stand out when applying in California.
Which companies hire ai engineers in California?
Employers hiring ai engineers in California right now include Apple, NVIDIA, and TikTok, based on current listings on Migrate Mate as of June 2026. California's concentration of technology headquarters and research labs means the state consistently produces some of the highest volumes of ai engineer openings nationwide.
Which California cities have the most ai engineer jobs?
San Francisco, San Jose, and Santa Clara have the most ai engineer openings in California. The San Francisco Bay Area dominates because of its dense concentration of technology headquarters and AI-focused startups, while Los Angeles is driven by growth in media tech, autonomous vehicles, and enterprise software companies that have expanded engineering operations there.
Are there remote ai engineer jobs in California?
Yes, and more than most fields. About 23% of ai engineer openings tied to California are remote or hybrid as of June 2026, reflecting how much of the work involves code, model training, and data pipelines that translate well to distributed teams. Research-heavy and infrastructure roles tend to offer the most location flexibility.
How can I get hired as a ai engineer in California with little or no experience?
The most realistic entry path is through an associate or junior machine learning engineer role, often posted by large California employers like Google, Apple, and Nvidia alongside their senior openings. Many of these companies run new-grad programs that accept candidates with strong project portfolios in place of work history. Adjacent roles in data analytics, data engineering, or software engineering at California technology firms are a proven lateral route, and completing a recognized deep learning or ML engineering certificate gives applicants a measurable credential to reference in applications.
Where can I find and apply to ai engineer jobs in California?
You can find and apply to ai engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your background and apply directly from the listings on this page.
See All 3,048+ AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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