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Full Stack Ai Engineer Jobs in California (NOW HIRING)

Full Stack AI Systems Engineer

San Diego, CA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

Are you a senior engineer who can keep large, AI-augmented systems running reliably at Apple scale ... full-stack instincts; comfortable spanning data infrastructure, backend services, and the user ...

We are seeking an experienced Full-Stack AI Applications Independent Contractor to support specialized development, enhancement, and deployment of internal AI-enabled applications services. This is a ...

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... Full-Stack Engineer Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack ...

Staff Full Stack Engineer

San Francisco, CA · On-site

$195K - $315K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About this role As a Staff Full Stack Engineer at David AI, you'll lead our engineering team in ...

They are seeking an AI Engineer to design and develop AI systems, build prototypes, and collaborate ... Responsibilities : • Build full-stack AI prototypes that pressure-test venture ideas before ...

Full-Stack Engineer

San Francisco, CA · On-site

$140K - $220K/yr

  • Medical

  • Dental

  • Vision

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ...

Full-Stack Engineer

San Francisco, CA

$140K - $220K/yr

  • Medical

  • Dental

  • Vision

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ...

AI Full Stack Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineering culture. Contribute to both short- and long-term technical roadmaps, especially around AI-enabled product development, platform scalability, and full-stack architecture. Help shape how ...

Position: Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++) Type: Contract ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

New

Scout AI is developing Fury, the first robotic foundation model for defense, aimed at enhancing U.S ... Required : • 2-5 years of full-stack engineering experience (startup or high-ownership ...

Maintain and enhance existing full-stack applications (backend, frontend, DevOps and data layers) that combine AI, data analytics, and spatiotemporal big data. * Collaborate with iQuasar software ...

Scout AI is developing Fury, the first robotic foundation model for defense, aimed at providing U.S ... Required : • 2-5 years of full-stack engineering experience • Proficiency with modern frontend ...

Showing results 21-40

Full Stack Ai Engineer information

See California salary details

$43.9K

$133K

$188K

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

As of Aug 14, 2026, the average yearly pay for full stack ai engineer in California is $133,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $155,900.00 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?

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 cities in California are hiring for Full Stack Ai Engineer jobs?

Cities in California with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $133,006 per year, or $63.9 per hour.

Full Stack AI Systems Engineer

Apple

San Diego, CA

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 29 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Are you a senior engineer who can keep large, AI-augmented systems running
reliably at Apple scale? Apple's Stability Engineering team is looking for a
seasoned engineer to join our Core team. We build and operate the
platforms, services, and infrastructure that turn crash reports from Apple
devices into actionable engineering insights. You'll work on systems where
LLMs and agents are already part of the production fabric - evolving them,
hardening them, and using AI tools to extend what a small team can deliver.
Description
Our team owns the end-to-end platform behind stability analysis at Apple:
symbolication of crash logs across the company's hardware portfolio, the data
pipelines that aggregate and cluster crash logs, and the applications and
services that engineers across Apple use every day to drive operating-system
quality. This role is about keeping that platform healthy, extending it
deliberately, and making the engineering team itself more effective by using
AI tools well.
Day to day, you'll spend most of your time on the engineering work of running
real systems: tuning evaluation infrastructure, tightening operational
controls, improving auditability and debug trails, and scaling the workflows
our analysts rely on. When new capabilities are needed, you'll prototype and
integrate them into the platform. You'll partner closely with stability
analysts who are domain experts in OS reliability, and with the broader team
responsible for symbolication, ETL, and service infrastructure. You'll also
be expected to use AI-assisted development tools fluently to investigate
issues, refactor at scale, and ship more with a small team.
We're looking for someone with the rigor of a seasoned production engineer
who is also comfortable operating systems that include LLMs and agents as
first-class components. If you enjoy taking responsibility for a complex,
already-running platform and making it steadily better, we want to talk.
Preferred Qualifications
Experience operating LLM- or agent-based features in production environments over time
Experience building or maintaining evaluation harnesses, audit trails, or replay infrastructure for AI systems
Background in developer tools, observability, crash/stability analysis, or other operating-system-quality domains
Familiarity with one or more of: Ruby on Rails, Node.js/TypeScript, Python for production services
Experience working in environments with significant deferred scalability work (capacity-constrained, long-lead-time infrastructure)
Minimum Qualifications
5+ years of professional software engineering experience building and operating production systems
BS in Computer Science or a related field, or equivalent practical experience
Fluent use of AI-assisted development tools (coding agents, code review assistants, etc.) to work effectively at scale
Demonstrated experience designing and scaling distributed systems (load balancing, active-active topologies, capacity planning, throughput-bound services)
Track record of maintaining and evolving production services - observability, operational controls, incident response, and steady iteration on existing systems
Strong full-stack instincts; comfortable spanning data infrastructure, backend services, and the user-facing surfaces that consume them
Proven ability to operate independently on ambiguous, open-ended problems where the right answer is not obvious
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Benefits

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976