ZipRecruiter

Log In

1

Ai Application Developer Jobs in California (NOW HIRING)

Numentica LLC

AI Application Engineer

Los Angeles, CA · Remote

$40 - $50/hr

Role Summary The AI Application Engineer builds the prototypes, services, workflows, and integrations that bring generative AI use cases to life on AWS. This is a hands-on role: the engineer pairs ...

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 ...

Advantest

AI Application Engineer

San Jose, CA

As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such astest program ...

Advantest

AI Application Engineer

San Jose, CA · On-site

As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as test program ...

Fortinet

Staff AI Application Engineer Lead

Sunnyvale, CA · On-site

$183K - $224K/yr

Fortinet is a fast-growing and dynamic cybersecurity company with a growing and hard-working IT business application team. We are looking for a Senior AI Engineering Lead to join our growing team. In ...

Caltech

Application Developer

Pasadena, CA · On-site

$40 - $47/hr

Job Summary NExScI at Caltech/IPAC has an opening for an Application Developer with a strong ... The work will, in part, involve exploring the use of agentic AI to deliver these systems: * Support ...

next page

Showing results 1-20

All JobsAi Application Developer JobsAi Application Developer Jobs in California

Ai Application Developer information

See California salary details

$16

$51

$83

How much do ai application developer jobs pay per hour?

As of Jul 18, 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 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 is the salary of an AI developer?

The salary of an AI application developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI application developer or AI research director, often offering top-tier compensation due to expertise, experience, and the complexity of projects. These roles may require advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch, along with relevant certifications and a strong professional track record.

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.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

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 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 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 July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $108,056 per year, or $52 per hour.
AI Application engineer

AI Application engineer

Inficare Technologies

Santa Clarita, CA • On-site

Full-time

Re-posted 11 days ago

Job description

Role - AI Application engineer
Location - Santa Clara, CA (Onsite)
Duration - 12+ months
Need candidate to Prepare , Complete Coding assessment
AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake
Description
Key Responsibilities
  • Design and develop AI-powered applications using machine learning, generative AI, and data-driven services.
  • Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications.
  • Build production-grade APIs and microservices to serve AI predictions and insights.
  • Collaborate with data scientists and ML engineers to operationalize models.
  • Implement prompt engineering, model orchestration, and inference pipelines.
  • Ensure performance, scalability, security, and reliability of AI applications.
  • Work on real-time and batch AI inference use cases.
  • Implement observability and monitoring for AI behavior and application health.
  • Handle model versioning, rollback strategies, and A/B testing.
  • Ensure compliance with data privacy, responsible AI, and governance standards.
  • Participate in architecture reviews and contribute to AI application best practices.
  • Troubleshoot application and inference issues in production environments.
  • Mentor junior developers and contribute to technical documentation.

Required Skills & Qualifications
Application Development
  • 5-6 years of experience in application development or software engineering.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience with backend frameworks (FastAPI, Flask, Django, Node.js).
  • Strong understanding of REST APIs, microservices, and system design.
  • Experience with frontend frameworks is a plus (React, Angular, Vue).

AI & Machine Learning
  • Hands-on experience integrating ML models and AI services into applications.
  • Understanding of ML lifecycle, inference patterns, and model usage.
  • Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
  • Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation).
  • Familiarity with embeddings and vector search.

Data & Backend Integration
  • Strong SQL skills and experience with databases (relational & NoSQL).
  • Experience integrating with data pipelines, feature stores, and analytics systems.
  • Knowledge of APIs, caching layers, and messaging systems (Kafka, RabbitMQ).

Cloud & DevOps
  • Hands-on experience with cloud platforms (AWS / Azure / GCP).
  • Experience deploying AI applications using Docker & Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Experience with cloud-native AI services is a plus.

Apply