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Ai Application Developer Jobs in California (NOW HIRING)

TenX Semi

AI Application Engineer

San Francisco, CA · On-site

$120 - $170/hr

San Francisco Bay Area, CA · Hybrid · Full-time We are looking for an AI Application Engineer who transforms unstructured materials--documents, code, specifications, diagrams--into structured ...

BrainCo

AI Application Security Engineer

San Francisco, CA · On-site

$69.25 - $92.50/hr

Experience with SAST/DAST tooling or integrating automated security checks into developer workflows at scale. Why Join Us * Define what application and AI security looks like at a company building ...

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All JobsAi Application Developer JobsAi Application Developer Jobs in California

Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for ai application developer in California is $51.95, according to ZipRecruiter salary data. Most workers in this role earn between $41.73 and $59.81 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in California?

For Ai Application Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Application Developer jobs in California look for?

The top searched job categories for Ai Application Developer jobs in California are:

What cities in California are hiring for Ai Application Developer jobs?

Cities in California with the most Ai Application Developer job openings:

Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $108,056 per year, or $52 per hour.

AI Application developer

Santa Clara, CA • On-site

Hexaware Technologies, Inc
IT Services • 10K+ employees
Learn more about Hexaware Technologies, Incexternal

Other

Posted 15 days ago

Job description

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage: Your Workplace Benefits
Health benefits with low-cost employee premium.
Range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage training and upskilling opportunities through Udemy and Hexavarsity

Role: AI Application Engineer / Lead
Location: Santa Clara, CA - Onsite

Job description:
Role Requirements & Hiring Criteria
1. Business Objectives & Expected Outcomes
Business Objectives
Build enterprise-grade AI applications that improve engineering, R&D, manufacturing, and knowledge management workflows.
Accelerate adoption of Agentic AI across Applied Materials.
Establish reusable AI platform components and frameworks.
Reduce development effort through AI-assisted workflows and reusable services.
Expected Outcomes
Deploy production AI applications used by multiple business units.
Deliver measurable productivity improvements.
Create reusable RAG, agent, and orchestration frameworks.
Improve knowledge discovery and decision support across engineering teams.
2. Detailed Job Description & Key Responsibilities
AI Application Development
Design and build AI-powered applications using LLMs and foundation models.
Develop RAG solutions leveraging enterprise knowledge sources.
Build multi-agent systems for complex workflows.
Agentic AI
Design planning, reasoning, tool-calling, and workflow orchestration systems.
Build autonomous and human-in-the-loop agent architectures.
Develop domain-specific AI copilots.
AI Engineering
Fine-tune, evaluate, and optimize models.
Implement prompt engineering and evaluation frameworks.
Build API services for AI model consumption.
Leadership
Lead technical solution design.
Mentor junior engineers.
Drive AI engineering best practices.
Partner with R&D, product, and business stakeholders.

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