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# AI Software Engineer I

- **Company:** Autonomous Solutions, Inc.
- **Location:** Logan, UT, United States
- **Experience:** Starter
- **Salary:** $68,000.0 - $117,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Computing, Code Review, Data Centers, Python (Programming Language), Node.Js, Office Suite, Software Engineering, Google Cloud, Large Language Models, Backend, Git, AI Platforms, AngularJS, Information Technology, Front End Software Development, Software Version Control
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fa0f888cba4b75e2

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, or related field.
 * 0-2 years of experience in full-stack software development.
 * Familiarity with front-end frameworks such as React, Vue, or Angular.
 * Exposure to back-end development using Node.js, Python, or similar languages.
 * Basic understanding of cloud platforms (AWS, Azure, or GCP).
 * Familiarity with version control workflows using Git.
 * Exposure to AI/ML APIs or large language model (LLM) integration patterns.

Physical Requirements

 * Ability to remain in a stationary position at a computer workstation for extended periods.
 * Ability to operate a computer and other office productivity equipment continuously.
 * Ability to communicate and exchange information in person, via phone, and through electronic means.
 * Ability to traverse office, lab, data center, and field environments as required.

## Description

As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal AI-powered tools and applications under direct supervision. You contribute to front-end and back-end development tasks, assist with integration work, and build foundational skills shipping functional software within the internal platform., * Build front-end components and back-end services for internal applications following established architectural patterns.

 * Assist in scaffolding and configuring new tools and prototypes within the internal AI platform.
 * Support implementation of authentication flows, API wrappers, and access control features under supervision.
 * Document tool usage, configuration steps, and onboarding materials to support team adoption.
 * Participate in code reviews to receive feedback and develop software quality practices.
 * Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance.
 * Identify and escalate bugs, performance issues, and integration failures to senior engineers.
 * Contribute to cloud deployment tasks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) under direction.


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