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Genai Engineer Jobs in California (NOW HIRING)

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 ...

Senior Staff GenAI Engineer

Sunnyvale, CA ยท On-site

$200 - $235/hr

The Senior Staff GenAI Engineer leads the design, development, and deployment of scalable, reliable generative AI systems, driving agentic automation and integration to deliver productionโ€‘grade ...

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Senior GenAI Engineer (Python)

Palo Alto, CA ยท 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 ...

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As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered. Contract Type: This is a ...

Senior GenAI Engineer (Python)

Palo Alto, CA ยท 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 ...

Senior Staff GenAI Engineer

Sunnyvale, CA ยท On-site

$200K - $235K/yr

The Senior Staff GenAI Engineer leads the design, development, and deployment of scalable, reliable generative AI systems, driving agentic automation and integration to deliver high-impact ...

Senior Staff GenAI Engineer

Sunnyvale, CA ยท On-site

$200K - $235K/yr

The Senior Staff GenAI Engineer leads the design, development, and deployment of scalable, reliable generative AI systems, driving agentic automation and integration to deliver highimpact ...

AI Lead (SAP Background Required)

Torrance, CA ยท On-site +1

$106K - $139K/yr

AI Lead or Lead GenAI Engineer (SAP Background Required) Location: Torrance, CA Duration: 6+ Months Job Summary We are looking for a hands-on AI Lead or Lead GenAI Engineer to design and implement ...

Role Overview: We're looking for a motivated Software Developer who's ready to jump into the world of Generative AI! This is an amazing opportunity for a recent graduate with a passion for Python and ...

Role Overview: We're looking for a motivated Software Developer who's ready to jump into the world of Generative AI! This is an amazing opportunity for a recent graduate with a passion for Python and ...

They are seeking a motivated Software Developer to develop AI-powered software solutions, collaborate with team members, and continuously learn about AI and software development. Responsibilities ...

Lead Gen AI Engineer

Irvine, CA ยท On-site

$55 - $60/hr

Lead AI/GenAI Engineer. Location: Irvine, CA (3 days onsite/week) Duration: 6 Months Job Summary Seeking an experienced specialized in AI or GenAI Research with 7 to 11 years of expertise in AI ...

They are seeking a motivated Software Developer to develop, test, and refine AI-powered software solutions, working collaboratively with a supportive team to automate complex tasks in the industry.

We are seeking a talented Gen AI engineer with a passion for creating and maintaining AI agents and generative features in our applications. You will focus on creating, testing and maintaining ...

GenAI Architect / AI Architect (LLM, Prompt Engineering, RAG, AWS/Azure) Location: Torrance, CA (Onsite) Duration: 6+ Months Consultants local to CA preferred Job Summary We are looking for a hands ...

Role: Junior GenAI Engineer Location: Santa Clara, CA (Onsite from Day 1) Job Type: Contract Experience Level: 3-7 Years (Software Development) Key Responsibilities: * Demonstrate advanced ...

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Genai Engineer information

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 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 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 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 popular job titles related to Genai Engineer jobs in California? For Genai Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Genai Engineer jobs? Cities in California with the most Genai Engineer job openings:
Infographic showing various Genai Engineer job openings in California as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI/GenAI Engineer

Staffingine LLC

Irvine, CA โ€ข On-site

Contractor

Re-posted 19 days ago


Job description

Job Title: AI/GenAI Engineer
Job Location: Irvine, CA
Job Type: Contract

Job Description:

  1. Lead and conduct advanced research in AI and Generative AI to develop innovative solutions.
  2. Design and implement machine learning deep learning natural language processing and computer vision models.
  3. Collaborate with cross functional teams to integrate AI research outcomes into practical applications.
  4. Stay updated with the latest trends and breakthroughs in AI or GenAI and related fields.
  5. Analyze complex data sets to extract meaningful insights and improve model accuracy.
  6. Develop prototypes and proof of concept projects to demonstrate AI capabilities.
  7. Document research findings methodologies and results for internal and external dissemination.

Roles and Responsibilities 

  1. Drive the end to end development of AI or GenAI projects aligned with organizational goals.
  2. Mentor junior researchers and engineers in AI or GenAI techniques and best practices.
  3. Evaluate and optimize AI models for performance scalability and robustness.
  4. Collaborate with stakeholders to define AI research objectives and project requirements.
  5. Participate in technical reviews presentations and knowledge sharing sessions.
  6. Ensure compliance with ethical standards and data privacy regulations in AI research.
  7. Support proposal development and contribute to securing research funding or contracts.

Mandatory Skills: AWS Bedrock, Azure Open AI Service, Prompt Engineering & RAG, Vector Databases and Embedding