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Full Stack Ai Engineer Jobs in California (NOW HIRING)

Freshworks

Full Stack AI Software Engineer

San Mateo, CA · On-site

$216K - $283K/yr

We are looking for a Full Stack AI Engineer to build intelligent, scalable, and user-centric product experiences across our B2B SaaS platform. In this role, you will work across the stack frontend ...

Programmers.io

Java Full Stack AI Developer

Sunnyvale, CA · On-site

$61.50 - $79.50/hr

... Full stack MERN, TypeScript, State management (Redux) * AI/ML Implementation - MCP Development, Integration of LLMs (Gemini, Claude), Vector Databases, and RAG * Cloud & DevOps - Kubernetes (EKS ...

Gamma

Software Engineer, Full Stack

San Francisco, CA · On-site

About the role You'll build the AI features at the heart of Gamma's content creation experience ... That means designing and implementing full-stack features powered by LLMs and image generation ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in California

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 Jul 6, 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, 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.
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $133,006 per year, or $63.9 per hour.
Full-Stack AI Engineer (evergreen)

Full-Stack AI Engineer (evergreen)

Komodo Health

San Francisco, CA

Other

Posted 19 days ago

Job description

Of note, this role will remain posted until July 17, so we have time to review applications thoughtfully. Once all current resumes have been reviewed, the role will be reposted as needed.

The Opportunity at Komodo Health: 

Healthcare in the U.S. is a mess. Komodo Health is fixing that-with data. We've mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers-pharma companies, payers, and health systems-use this data to make decisions that meaningfully improve patient outcomes.

Labs@Komodo builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot, Komodo's AI-native product-designed with AI embedded directly into both the interface and the development workflow. By combining Komodo's unmatched healthcare data with modern LLMs, Marmot is delivering some of the most compelling real-world insights of the new AI era.

Building Marmot has sharpened our view of what this discipline actually demands. AI is rewriting what "full-stack" means - the engineers who excel here own the entire intelligence stack: data context and lineage, semantic definitions and business logic, retrieval and tool use, agent orchestration, evals and regression testing, model and prompt versioning, and permissions and governance. And they bring the product intuition to connect all of it to real outcomes. In healthcare, the stakes are higher still - AI systems must function amid messy real-world data, domain-specific definitions, privacy constraints, and high-stakes clinical and commercial decisions. Trustworthiness isn't a nice-to-have. It's the product.

Mission of the Role:

As a Full-Stack AI Engineer, you will design and deploy end-to-end AI solutions that power real products and internal tools. You'll work at the intersection of applied research, engineering, and product development - bringing modern AI techniques into scalable production systems.

You'll operate in a lean, high-leverage pod: a small team of Full-Stack AI Engineers paired closely with a PM who deeply understands the customer workflow - built to compress the discovery loop and ship things that actually matter. You'll also collaborate with platform and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized.

Looking back on your first 12 months at Komodo Health, you will have accomplished... 

  • Shipped production AI features that improve the precision, usability, and intelligence of Komodo's platform.
  • Designed and deployed agent-based AI pipelines integrated into real customer-facing products.
  • Built internal AI productivity tools that accelerate engineering workflows across Komodo.
  • Prototyped and validated new AI approaches using emerging research and model capabilities.
  • Contributed reusable prompt templates, orchestration patterns, and AI system architecture.
  • Implemented monitoring, evaluation, and observability frameworks for deployed AI services.

What You'll Own:

  • Designing, building, and deploying end-to-end AI systems across the full intelligence stack - from data context and retrieval to agent orchestration, evals, versioning, and governance.
  • Developing agent pipelines, prompt chains, and orchestration frameworks for LLM-driven workflows.
  • Selecting the right AI technique (LLMs, classic ML, or hybrid approaches) for the problem at hand.
  • Collaborating with PMs, engineers, and data scientists to define requirements and deliver solutions.
  • Building scalable AI services with monitoring, evaluation, and deployment pipelines.
  • Contributing reusable patterns to Komodo's AI infrastructure and internal tooling ecosystem.

What you bring to Komodo Health (required):

  • Experience building production-grade AI systems or AI-powered applications.
  • Strong proficiency in Python.
  • Experience working with LLMs, prompt engineering, or agent-based architectures.
  • Familiarity with modern GenAI tooling and frameworks: vLLM, CrewAI, Strands, OpenAI / Chat Completions APIs.
  • Ability to integrate AI capabilities across backend services and product interfaces.
  • Experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features.
  • Strong collaboration skills across engineering, product, and data teams.

Expectations of AI Use in this role (required):

  • At Komodo, AI is core to how we build. Full-Stack AI Engineers are expected to actively experiment with new AI techniques, share learnings across teams, and contribute to evolving best practices for building reliable, scalable AI systems. You will play a key role in shaping Komodo's AI-first engineering culture.

Additional skills and experience we'd prioritize (nice to have)...

  • Healthcare data expertise.
  • Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.

*Compensation bands are inclusive of two levels

**Location flexible: NYC or SF hybrid, or remote

***Of note, this role will remain posted until July 17, so we have time to review applications thoughtfully. Once all current resumes have been reviewed, the role will be reposted as needed.

Apply