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Generative Ai Developer Jobs in Alameda, CA (NOW HIRING)

... Generative AI product services and experiences, and taking Large Language Models (LLMs) from ... You will also represent Meta at developer conferences and events. You will be required to develop ...

... Generative AI product services and experiences, and taking Large Language Models (LLMs) from ... You will also represent Meta at developer conferences and events. You will be required to develop ...

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site +1

$22.75 - $29.75/hr

Develop Generative AI use cases such as intelligent agents, enterprise search, summarization ... Understanding of prompt engineering, embeddings, vector databases, or retrieval-augmented ...

New

Java AI Developer

Palo Alto, CA · On-site

$53 - $57/hr

Seeking a Java AI Developer with strong programming skills and experience in cloud services to ... Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e ...

Staff AI Engineer

Menlo Park, CA · On-site

$190 - $270/hr

About the Role As a Staff AI Engineer at Hippocratic AI, you'll set the technical direction for voice‑based generative AI in healthcare. You'll architect the intelligent systems that power our ...

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Generative Ai Developer information

See Alameda, CA salary details

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How much do generative ai developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for generative ai developer in Alameda, CA is $51.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $62.12 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Alameda, CA look for?

The top searched job categories for Generative Ai Developer jobs in Alameda, CA are:

What cities near Alameda, CA are hiring for Generative Ai Developer jobs?

Cities near Alameda, CA with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Alameda, CA as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $106,762 per year, or $51.3 per hour.

Senior Product Manager - C3 Generative AI

C3 AI

Redwood City, CA • On-site

$165K - $228K/yr

Full-time

Re-posted 21 days ago


Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI is seeking an experienced Senior Product Manager to lead the development and growth of our C3 Generative AI platform. As a Senior Product Manager, you will be responsible for driving product strategy, execution, and delivery, with a particular focus on the technical aspects of building and scaling AI solutions. This is a highly impactful role where you will work closely with engineering, data science, and customer-facing teams to bring innovative AI-driven products to market.
Responsibilities:
  • Lead the product lifecycle from ideation to delivery, ensuring alignment with business goals and technical feasibility.
  • Work closely with engineering and data science teams to define detailed product requirements and technical specifications for Generative AI solutions.
  • Translate customer and market needs into clear, actionable roadmaps and product features, balancing short-term priorities with long-term strategic vision.
  • Drive product development in collaboration with cross-functional teams, ensuring timely delivery of high-quality AI features and applications.
  • Conduct deep technical analysis of the AI/ML technologies that underpin the platform, influencing design decisions and product architecture.
  • Own the product's go-to-market strategy, working with marketing and sales to ensure successful product launches and adoption.
  • Collaborate with customer-facing teams to gather feedback and refine the product roadmap based on user needs, technical challenges, and market trends.
  • Manage stakeholder communications, including regular updates on progress, risks, and opportunities to senior leadership.
  • Monitor key product metrics and ensure alignment with performance goals, identifying opportunities for continuous improvement.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
  • 5+ years of product management experience in enterprise software, AI, or a related field, with a focus on technically complex products.
  • Strong understanding of AI/ML technologies, including experience with Generative AI, data pipelines, and model operationalization.
  • Proven experience working closely with engineering teams to deliver technically sound and scalable AI solutions.
  • Demonstrable ability to break down complex technical problems into user-friendly features and product experiences.
  • Strong analytical and problem-solving skills, with the ability to leverage data to drive product decisions.
  • Excellent communication skills, with the ability to translate technical concepts for non-technical audiences and influence senior stakeholders.
  • Experience managing full product lifecycles, from research and ideation to launch and iteration.
  • Ability to prioritize competing initiatives and manage timelines effectively in a fast-paced environment.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range
$165,000-$228,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.