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Genai Engineer Jobs in California (NOW HIRING)

BEPC INC

Be Seen First

Lead GenAI Engineer

South San Francisco, CA · On-site

$80 - $91.51/hr

BEPC is actively looking for Lead GenAI Engineer, in South San Francisco, CA area! W2 Contract - 6 months with possible extensions! Benefits include medical, dental, vision, and life insurance Pay ...

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. * Design and implement machine learning ...

Montek System

W2- Sr GenAI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

GenAI Engineer -- Orchestration, Capability Discovery & Reusable Skills Location: Bay Area, CA preferred, with ability to work onsite 1-2 days per week. Remote position Duration: Long-term contract ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered. Key Responsibilities: * GenAI ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered. Key Responsibilities: * GenAI ...

2T Consulting

$130K - $170K/yr

We are looking for a GenAI Engineer with strong expertise in LLM infrastructure, model deployment, and high-performance inference services. The ideal candidate will build and manage scalable ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in California?

For Genai Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in California look for?

The top searched job categories for Genai Engineer jobs in California are:

What cities in California are hiring for Genai Engineer jobs?

Cities in California with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

GenAI Engineer

Triune Infomatics Inc

South San Francisco, CA • On-site

Other

Posted 11 days ago

Job description

Role: GenAI Engineer (Specialized Content)
Location: Sount San Francisco, CA (3 days onsite/week)
Duration: 6+ months
Focus: Specialized Content and Compliance Agents
Overview: The goal is to implement production agents that support insight synthesis, evidence-grounded claims, audience personalization and early content-quality or compliance checks. The contractor will receive defined use cases and architecture patterns and will be expected to code the agent logic, integrations, structured outputs, tests and evaluations. The agents must produce reliable, grounded outputs that can be consumed by the larger application and downstream services.
Must Have: Python/TypeScript, GenAI Agent Development, Tool Calling & RAG/Grounding, Structured Outputs & Validation, Testing & Agent Evaluations, AWS Bedrock & AgentCore
Minimum Capabilities:

  • Strong Python or TypeScript production engineering experience
  • Proven experience coding GenAI agents with tool calling, retrieval, grounding and structured outputs
  • Experience integrating agents with APIs, document repositories, content systems or other agents
  • Experience implementing validation, citations, provenance and controls for unsupported outputs
  • Experience writing automated tests and evaluations for agent behavior, accuracy and failure cases
  • Hands-on experience with AWS, Amazon Bedrock and AgentCore
  • Ability to work independently within an established architecture and deliver deployable code


Preferred:

  • Experience with insight synthesis, evidence-grounded generation, audience personalization or automated content-quality checks
  • Experience with pharmaceutical commercial content, clinical or promotional claims or regulated review workflows
  • Familiarity with Veeva, Adobe platforms or regulated content-management systems

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