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

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

We're looking for a mid-level AI Engineer (2-8 years of experience) who is comfortable owning ... Ship full-stack AI products from MVP to enterprise-grade: design APIs and data models, implement ...

CLERA

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180 - $400/hr

We're looking for a mid-level AI Engineer (2-8 years of experience) who is comfortable owning ... Ship full-stack AI products from MVP to enterprise-grade: design APIs and data models, implement ...

Erth.AI Inc.

Full Stack Engineer

San Francisco, CA

$120K - $150K/yr

Full Stack Engineer: We are in search of a dynamic Full-Stack Engineer to work as part of our ... Our primary focuses encompass social games and AI-based products. Company Introduction: .Erth is an ...

Erth.AI Inc.

Full Stack Engineer

San Francisco, CA · On-site

$120K - $150K/yr

Full Stack Engineer: We are in search of a dynamic Full-Stack Engineer to work as part of our ... Our primary focuses encompass social games and AI-based products. Company Introduction: .Erth is an ...

Numos AI

Senior Full-Stack Engineer

San Francisco, CA · On-site

We're looking for a senior full stack engineer to help build the core systems behind AI teammates for finance. You'll design and ship infrastructure that allows agents to initiate, execute, and ...

Adobe

Full Stack Engineer

San Francisco, CA · On-site

The Opportunity Adobe is reimagining the future of creativity - where generative AI, intelligent agents, and human imagination work hand in hand. As a Full Stack Engineer, Agentic Product, you will ...

RST Recruitment

Full Stack Engineer

San Francisco, CA · On-site

$180K - $240K/yr

We're looking for Full Stack Engineers with 2-8 years of experience in full stack engineering who has hands-on experience building AI agents and utilizing LLMs effectively. You should be comfortable ...

Clera

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 ...

Clera

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 ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

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.

1 point system

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 ... Exposure to AI concepts, tools, or technologies (certifications, personal projects, online courses ...

Navier AI

Full Stack Engineer

San Francisco, CA · On-site

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 ...

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Showing results 21-40

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Berkeley, CA

Full Stack Ai Engineer information

See Berkeley, CA salary details

$54.5K

$165K

$233.3K

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

As of Aug 11, 2026, the average yearly pay for full stack ai engineer in Berkeley, CA is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $193,500.00 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 are popular job titles related to Full Stack Ai Engineer jobs in Berkeley, CA? For Full Stack Ai Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Berkeley, CA look for? The top searched job categories for Full Stack Ai Engineer jobs in Berkeley, CA are:
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Engineer (Mid-Level)

Clera

San Francisco, CA • On-site

$180K - $400K/yr

Full-time

Re-posted 8 days ago

Job description

About the Role

We're a pre-seed AI-powered HR tech startup based in San Francisco, building the next generation of intelligent talent-matching products. Our core product team is small, fast-moving, and deeply technical — you'll work shoulder-to-shoulder with founders, product, and design to ship agentic systems that automate complex, multi-step workflows across regulated and enterprise domains.

We're looking for a mid-level AI Engineer (2–8 years of experience) who is comfortable owning production systems end-to-end, from data model to deploy and monitoring, and who thrives in an environment where pragmatic engineering judgment matters as much as technical depth.

Visa sponsorship is not available for this role.

What You'll Do

  • Design, build, and maintain agentic systems that automate complex, multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance.

  • Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure — including vector databases, embeddings, and indexing — for domain-specific search at scale.

  • Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.

  • Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability.

  • Ship full-stack AI products from MVP to enterprise-grade: design APIs and data models, implement frontend and backend code, and operate production systems with CI/CD, monitoring, and testing.

  • Collaborate cross-functionally to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

What We're Looking For

Must-haves:

  • 2+ years of software engineering experience with a track record of shipping user-facing or backend products.

  • Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration.

  • Full-stack proficiency: Python plus TypeScript/React (or equivalent), experience with cloud platforms (AWS or GCP), and relational or NoSQL databases.

  • Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment to choose appropriate approaches.

  • Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos.

  • Experience designing API-driven, high-throughput systems and real-time product features.

Nice-to-haves:

  • Experience with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.

  • Background building multi-tenant or enterprise-ready systems, or experience in regulated industries (healthcare, fintech, legal).

  • Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration.

Compensation & Benefits

  • Salary: $180,000 – $400,000 USD annually (inclusive of equity where applicable)

  • Early-stage equity opportunity

  • High-ownership, high-impact role on a lean, experienced core team

Location

This is an on-site role based in San Francisco, CA. Candidates must be located in or willing to relocate to the San Francisco Bay Area. Visa sponsorship is not available.