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Ai Software Engineer Jobs in Azusa, CA (NOW HIRING)

You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration.

You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration.

AI Software Engineer II

Long Beach, CA ยท On-site

$102K - $140K/yr

You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration.

AI Software Engineer II

Long Beach, CA

$102K - $140K/yr

You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration.

AI Software Engineer II

Long Beach, CA ยท On-site

$102K - $140K/yr

You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration.

As a software engineer on the NDE & Materials Software team, you will accelerate the quality, speed ... We deliver high-impact solutions through advanced AI models and scalable simulation with a focus on ...

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Showing results 1-20

Ai Software Engineer information

See Azusa, CA salary details

$64.6K

$150.1K

$209.1K

How much do ai software engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai software engineer in Azusa, CA is $150,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $176,000.00 per year, depending on experience, location, and employer.

What does an AI software engineer do?

An AI Software Engineer designs, develops, and maintains software applications that incorporate artificial intelligence and machine learning technologies. They work with algorithms, data models, and programming languages such as Python, TensorFlow, and PyTorch to build intelligent systems. Their responsibilities include data preprocessing, model training, optimization, and deployment. Additionally, they collaborate with data scientists and software engineers to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive as an AI software engineer?

To thrive as an AI Software Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often backed by a relevant degree and experience with programming languages like Python or C++. Familiarity with frameworks such as TensorFlow or PyTorch, and experience deploying models in cloud environments or obtaining certifications in AI/ML, are highly valued. Strong problem-solving abilities, communication, and teamwork are important soft skills to bridge technical gaps and collaborate effectively. These skills and qualities enable the design, development, and deployment of effective AI solutions in dynamic, results-driven environments.

What job categories do people searching Ai Software Engineer jobs in Azusa, CA look for?

The top searched job categories for Ai Software Engineer jobs in Azusa, CA are:

What cities near Azusa, CA are hiring for Ai Software Engineer jobs?

Cities near Azusa, CA with the most Ai Software Engineer job openings:

Infographic showing various Ai Software Engineer job openings in Azusa, CA as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $150,081 per year, or $72.2 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Los Angeles, CA โ€ข Remote

$100 - $200/hr

Part-time

Posted 17 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.