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Ai Software Engineer Intern Jobs in California (NOW HIRING)

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... We are seeking a highly motivated and versatile Full Stack Engineer Intern to join our core ...

Software Engineer Intern

La Mirada, CA · On-site

$27 - $30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Software Engineer Intern For over 60 years, IQAir has been a leader in improving indoor air quality in residential, commercial and institutional markets. IQAir's vision is to assist people in living ...

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... You will be involved in the full software development lifecycle of AI-powered conversational ...

Who We Are Serval is an AI-native automation platform transforming how enterprises operate. We ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

As a software engineering intern, you will work alongside our small team of engineers to create new features and provide a world-class user experience for our customers. Responsibilities

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ...

AI Software Engineer

Lake Forest, CA · On-site

$103.50 - $172.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

AI Software Engineer Location: Lake Forest, United States of America (Hybrid) Employment type: Full-time The job We are looking for passionate and seasoned AI Software Engineers to join our Core AI ...

The AI Software Engineer will develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams to deliver impactful applications.

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Ai Software Engineer Intern information

What are the key skills and qualifications needed to thrive as an AI software engineer intern, and why are they important?

To thrive as an AI Software Engineer Intern, you typically need a solid background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by progress toward a relevant degree. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and experience with data analysis tools are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication set outstanding interns apart in collaborative and fast-paced environments. These skills and qualities are crucial for contributing meaningfully to AI projects and adapting to new technologies and challenges.

What does an AI software engineer intern do?

An AI Software Engineer Intern assists in designing, developing, and testing artificial intelligence models and applications under the guidance of experienced engineers. Their responsibilities may include data preprocessing, implementing machine learning algorithms, coding in languages like Python, and collaborating with team members on AI projects. Interns also help optimize existing AI systems, conduct research, and document their work. The role provides practical experience and exposure to real-world problems in AI and software engineering.

What types of projects can an AI software engineer intern expect to work on during their internship?

As an AI Software Engineer Intern, you will likely contribute to real-world projects such as developing machine learning models, preprocessing data, or supporting the integration of AI solutions into existing products. Interns often collaborate with senior engineers and data scientists, participating in code reviews and brainstorming sessions. You may also be involved in evaluating model performance, optimizing algorithms, or automating tasks using AI tools, giving you hands-on experience with both the technical and collaborative aspects of the role.
What are the most commonly searched types of Ai Software Engineer jobs in California? The most popular types of Ai Software Engineer jobs in California are:
What cities in California are hiring for Ai Software Engineer Intern jobs? Cities in California with the most Ai Software Engineer Intern job openings:
Infographic showing various Ai Software Engineer Intern job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer Intern

Nirmata

San Jose, CA

Internship

Re-posted 17 days ago


Job description

About the Role:

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.

What We Offer:

  • Hands-on experience with real-world software development projects
  • Mentorship from experienced software engineers.
  • An inclusive and collaborative work environment.
  • Opportunity to be part of an early stage startup.
  • Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing

Qualifications:

  • Education: Bachelor's or Master's degree student in Computer Science or a related field.
  • Focus on machine learning and data science.
  • AI Agents
  • MCP Servers
  • Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.
  • Familiarity with SLMs: model design and fine-tuning
  • Interested in Kubernetes and cloud native technologies