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Genai Developer Jobs in California (NOW HIRING)

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 ...

Senior GenAI Engineer (Python)

Palo Alto, CA ยท Hybrid

$143K - $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 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 ...

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 ...

We are seeking a highly skilled and motivated GenAI Engineer to join our team and optimize our multimodal indexing pipeline. This role is critical to improving the performance and scalability of ...

Azure DevOps (or similar CI/CD tooling), Git, and automated testing * Working knowledge of GenAI development patterns, including: * Retrieval-Augmented Generation (RAG): chunking strategies ...

AI / GenAI Engineering Skills Experience: 3-5Years of experience Location: Hyderabad Summary Mid ... Understands CI/CD and DevOps practice at a basic level. * Has experience working in collaborative ...

GenAI Engineer Location: Fremont, CA Job Type: Contract Pay Rate: $75/hr - $85/hr Experience: 12+ Years Skill Set: Gen AI, PyTorch, TensorFlow, Transformers/ Hugging Face and NumPy About KPI Partners ...

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Genai Developer information

See California salary details

$16

$52

$80

How much do genai developer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for genai developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may require relevant certifications or advanced degrees. Compensation at this level reflects significant experience and impact within the organization or industry.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like AI or machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in competitive industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are some common challenges GenAI Developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What jobs pay $2000 a day?

High-paying jobs that can earn $2000 or more per day often include specialized roles such as senior software engineers, data scientists, AI developers, management consultants, and certain medical specialists. These positions typically require advanced skills, extensive experience, and often involve project-based or consulting work with high hourly or daily rates.

What are GenAI Developers?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

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

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

What is the salary of GenAI developer?

The salary of a GenAI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior roles or those with expertise in machine learning frameworks and large language models may earn higher compensation. Salaries can also vary based on industry and company size.
What job categories do people searching Genai Developer jobs in California look for? The top searched job categories for Genai Developer jobs in California are:
What cities in California are hiring for Genai Developer jobs? Cities in California with the most Genai Developer job openings:
Senior GenAI Engineer (Python)

Senior GenAI Engineer (Python)

Evolver

Palo Alto, CA โ€ข On-site

$142K - $192K/yr

Full-time

Posted 15 days ago


Job description

About Us:
We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.
Role Overview:We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. 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 Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
  • Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
  • Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
  • Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
  • Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
  • Mentorship: Guide and support junior developers to foster technical growth within the team.
  • Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

Qualifications:
Experience:

  • 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
  • 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.

Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Technical Skills:
  • Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
  • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
  • Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

Soft Skills:
  • Excellent communication and collaboration skills in team-driven environments.
  • Analytical mindset with a strong focus on problem-solving.
  • Comfortable working in a fast-paced, dynamic startup culture.
  • Eagerness to learn and contribute to cutting-edge technologies.

Benefits
  • Competitive Compensation: Tailored to your experience and skill set.
  • Flexible Work Arrangements: Hybrid working model for work-life balance.
  • Career Growth: Opportunities for professional development and leadership roles.
  • Innovative Culture: Work on transformative technologies and make an impact in the AI space.