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Full Stack Ai Engineer Jobs in San Ramon, CA (NOW HIRING)

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... of full-stack engineering experience (startup or high-ownership environment preferred)

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end ... Ship full-stack AI products from MVP to enterprise-grade - designing APIs and data models, writing ...

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end ... Ship full-stack AI products from MVP to enterprise-grade -- designing APIs and data models, writing ...

As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered ... Design and build full-stack applications that power AI-driven workflows for enterprise users.

About Navier AI Navier AI is building the first autonomous engineering agents. AI systems that can ... Role Overview We're hiring a Full Stack Engineer to build the interactive interfaces and backend ...

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

About Navier AI Navier AI is building the first autonomous engineering agents. AI systems that can ... Role Overview We're hiring a Full Stack Engineer to build the interactive interfaces and backend ...

Full Stack Engineer

Fremont, CA · On-site

$50 - $55/hr

Job Title Full Stack Engineer 3-5+ years (Mid-level) - Preferable less than 10 years experience ... Integration Testing 6. AI Exposure • Exposure to AI concepts, tools, or technologies ...

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Krew is on a mission to transform credit-servicing with the industry's most advanced AI credit ... We're looking for a (Human) Member of Technical Staff specializing in full-stack engineering. We're ...

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Krew is on a mission to transform credit-servicing with the industry's most advanced AI credit ... We're looking for a (Human) Member of Technical Staff specializing in full-stack engineering. We're ...

Full Stack Engineer

San Francisco, CA · On-site

$180K - $220K/yr

We value people who take ownership, experiment quickly, and use modern tools, including AI and ... As a Senior Full Stack Engineer, you will own features end-to-end, working across frontend, backend ...

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Showing results 1-20

Full Stack Ai Engineer information

See San Ramon, CA salary details

$49.7K

$150.6K

$212.9K

How much do full stack ai engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for full stack ai engineer in San Ramon, CA is $150,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $176,600.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in San Ramon, CA? For Full Stack Ai Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in San Ramon, CA look for? The top searched job categories for Full Stack Ai Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Full Stack Ai Engineer jobs? Cities near San Ramon, CA with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in San Ramon, CA as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $150,609 per year, or $72.4 per hour.

Member of Technical Staff- Full Stack Software Engineer

Fireworks AI

San Mateo, CA

Other

Posted 20 days ago


Job description

The Role

We are looking for a Full Stack Software Engineering to architect, build, and scale our developer-focused web application (fireworks.ai) and shape our end-to-end technical architecture. This role blends hands-on engineering with technical leadership, offering the opportunity to mentor other engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment.

You'll play a key role in delivering scalable, elegant, and highly performant solutions that directly impact our hundreds of thousands of developers and product vision. You will be directly shaping and shipping the most optimal developer journey-spanning intuitive front-end interfaces, robust APIs, and efficient backend orchestration-combined with our large offering of open-source generative AI models, enabling our users to seamlessly build, experiment, and ship their AI workflows with our playground.

Key Responsibilities
  • End-to-End Ownership: Engineering ownership of fireworks.ai from the user interface down to the API and data layer, with a strong focus on a delightful developer journey.
  • Product-Led Growth: Participate in the team's shared accountability for product-led growth through the web application, model playground, and seamless user onboarding workflows.
  • Full Stack Development: Design, develop, and test responsive, performant web applications alongside robust, scalable backend services and APIs.
  • Leadership & Mentorship: Mentor and support a team of full stack, frontend, and backend engineers through code reviews, pair programming, and ongoing technical coaching.
  • Architectural Excellence: Define and implement full stack architectural standards, API design best practices, database schemas, and modern development workflows.
  • Cross-Functional Collaboration: Partner with Product, Design, and Core AI/Infrastructure Engineering to align on requirements, system design, timelines, and delivery expectations.
  • Systems & Components: Build and maintain reusable, scalable frontend component libraries while ensuring backend services are modular and easily integrated.
  • Unified Developer Experience: Partner with other engineering teams to build an aligned developer journey across web, SDK, and CLI surfaces.
  • Quality & Performance: Champion application performance, security, data integrity, and accessibility across the entire software stack.
  • Innovation: Drive innovation by staying informed of emerging full stack trends, cloud-native technologies, and AI orchestration frameworks.
Minimum Qualifications
  • Education: Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • Experience: 6+ years of professional experience in full stack software development.
  • Leadership: 2+ years of experience in a technical leadership role (e.g., tech lead, team lead, or engineering manager).
  • Frontend Proficiency: Strong expertise in React, TypeScript, JavaScript, and Next.js.
  • Backend Proficiency: Strong expertise in building server-side applications, designing RESTful or GraphQL APIs, and working with modern backend languages (e.g., Node.js, Python, Go).
  • Data Management: Solid understanding of database systems (SQL/NoSQL), caching strategies, and data modeling.
  • Track Record: Proven track record of delivering and scaling production-grade, full stack web applications.
  • Architecture & Devops: Experience with modern cloud infrastructure (AWS, GCP, or OCI), containerization (Docker), and full stack CI/CD pipelines.
Preferred Qualifications
  • AI/ML Domain Knowledge: Experience working in AI/ML-focused environments, or interacting with LLM APIs, vector databases, and model orchestration tools (e.g., LangChain, LlamaIndex).
  • Startup Agility: Prior startup experience-especially as a technical founder or early engineer-is a major plus.
  • People Growth: Experience managing or mentoring other engineers, including providing performance feedback and supporting career development.
  • Developer Tooling: Prior experience building developer platforms, SaaS dashboards, or complex interactive environments like playgrounds and sandboxes.
  • Open Source: Contributions to open-source projects, internal component libraries, or developer tools.