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Genai Developer Jobs in California (NOW HIRING)

... developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision . * Push boundaries --experiment with emerging GenAI techniques , share insights ...

... developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision . * Push boundaries --experiment with emerging GenAI techniques , share insights ...

... developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision . * Push boundaries --experiment with emerging GenAI techniques , share insights ...

... developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision . * Push boundaries --experiment with emerging GenAI techniques , share insights ...

AI Lead (SAP Background Required)

Torrance, CA · 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 ...

... developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision . * Push boundaries --experiment with emerging GenAI techniques , share insights ...

... developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision . * Push boundaries --experiment with emerging GenAI techniques , share insights ...

... AI, or ML engineering * Hands-on experience building and deploying AI/ML or GenAI applications in production, retrieval-augmented generation, workflow orchestration, API development, system ...

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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 13, 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 Software Engineer, GenAI

Senior Software Engineer, GenAI

Scale AI

San Francisco, CA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About Data Engine
Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.
Our Approach
As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.
Responsibilities:
  • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
  • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
  • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
  • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes
  • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
  • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
  • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements
Requirements:
  • 5+ years of software engineering experience, ideally in high-growth, product-focused environments
  • Proven track record of shipping production systems at scale
  • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
  • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
  • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
  • Strong product sense and ability to translate ambiguous problems into technical solutions
  • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
  • Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$216,000-$270,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.