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Apprentice Generative Ai Engineer Jobs in California

Senior AI Engineer

San Francisco, CA ยท 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 ...

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 ...

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 ...

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 ...

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

Machine Learning/AI Engineer (Lead)

Hayward, CA ยท On-site

$117K - $154K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

Machine Learning/AI Engineer (Lead)

Santa Clara, CA ยท On-site

$119K - $157K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

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 ...

Machine Learning/AI Engineer (Lead)

San Jose, CA ยท On-site

$120K - $158K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

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 ...

Machine Learning/AI Engineer (Lead)

San Francisco, CA ยท On-site

$120K - $159K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

Machine Learning/AI Engineer (Lead)

Alameda, CA ยท On-site

$118K - $156K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

Machine Learning/AI Engineer (Lead)

Fremont, CA ยท On-site

$112K - $147K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

Machine Learning/AI Engineer (Lead)

Santa Rosa, CA ยท On-site

$112K - $147K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

Machine Learning/AI Engineer (Lead)

San Mateo, CA ยท On-site

$116K - $153K/yr

Key Responsibilities Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps. Partner with business, product, data engineering, and analytics teams to identify ...

Showing results 41-60

Apprentice Generative Ai Engineer information

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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 Apprentice Generative Ai Engineer jobs in California? For Apprentice Generative Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in California look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in California are:
What cities in California are hiring for Apprentice Generative Ai Engineer jobs? Cities in California with the most Apprentice Generative Ai Engineer job openings:
Infographic showing various Apprentice Generative Ai Engineer job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior AI Engineer

Numos AI

San Francisco, CA โ€ข On-site

$123K - $169K/yr

Full-time

Re-posted 19 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.