ZipRecruiter

Log In

1

Artificial Intelligence Software Developer Jobs in California

Long Finch Technologies

NO NEED TO RELOCATE TO A DIFFERENT PLACE WE ARE LOOKING FOR ARCHITECT FOR THIS POSITION NOT DEVELOPER. Artificial Intelligence Architect Java 21+, Spring Boot, Spring AI Microservices, event-driven ...

previous page

Showing results 41-60

All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in California

Artificial Intelligence Software Developer information

See California salary details

$47.4K

$110.4K

$163.8K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for artificial intelligence software developer in California is $110,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities in California are hiring for Artificial Intelligence Software Developer jobs?

Cities in California with the most Artificial Intelligence Software Developer job openings:

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in California as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,380 per year, or $53.1 per hour.

Artificial Intelligence Instructor

Los Angeles, CA

DirectedLINK
Recruiting and Staffing Services • 11 - 50 employees
Learn more about DirectedLINKexternal

$42 - $52/hr

Part-time, Contractor

Re-posted 26 days ago

Job description

Artificial Intelligence Instructor

Location: Los Angeles, CA, USA 

On-site

Schedule: Part-time, approximately 20 hours per week

Pay: $42–$52 per hour

Type: Contract-to-Hire

Overview

A national union academic and workforce training center is seeking an experienced Artificial Intelligence Instructor to teach a 12-week, hands-on program focused on generative AI, creative technology, and AI-assisted media production. The instructor will develop and deliver engaging in-person lessons for students and working professionals across construction, engineering, electrical, and building-management industries.

Key Responsibilities

  • Develop and implement a 12-week course syllabus
  • Teach practical generative AI and creative-production workflows
  • Lead classroom demonstrations, workshops, and project critiques
  • Mentor students and provide actionable feedback
  • Explain technical concepts in an accessible way
  • Cover ethical, legal, and professional considerations involving AI-generated content
  • Collaborate with program leadership to maintain curriculum quality

Required Qualifications

  • Professional teaching, training, or instructional experience
  • Hands-on experience with generative AI tools and workflows
  • Strong communication and presentation skills
  • Ability to teach both creative concepts and technical processes
  • Ability to work on-site in Los Angeles

Preferred Experience

  • ComfyUI, Flux, LoRA training, ChatGPT, Gemini, Veo, Luma, Seedance, or similar platforms
  • Generative image and video workflows
  • Photoshop, Premiere, Nuke, After Effects, or Fusion
  • AI-assisted storytelling, visual development, or media production
  • Engineering Technology, construction, engineering, or related industry exposure