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Intern Ai Agent Developer Jobs in Utah (NOW HIRING)

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Understanding of agent design patterns and evaluation techniques * Experience with Model Context ...

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Understanding of agent design patterns and evaluation techniques * Experience with Model Context ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that ... Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation ...

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Understanding of agent design patterns and evaluation techniques * Experience with Model Context ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that ... Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Understanding of agent design patterns and evaluation techniques * Experience with Model Context ...

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that ... Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Understanding of agent design patterns and evaluation techniques * Experience with Model Context ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Understanding of agent design patterns and evaluation techniques * Experience with Model Context ...

Showing results 41-60

Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the most commonly searched types of Ai Agent Developer jobs in Utah?

The most popular types of Ai Agent Developer jobs in Utah are:

What are popular job titles related to Intern Ai Agent Developer jobs in Utah?

For Intern Ai Agent Developer jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Intern Ai Agent Developer jobs?

Cities in Utah with the most Intern Ai Agent Developer job openings:

Infographic showing various Intern Ai Agent Developer job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Staff Frontend Software Engineer - Platform

JobNimbus

Provo, UT • On-site

Full-time

Posted yesterday

New


Job description

We are obsessed with the hero's journey at JobNimbus. Every person has a hero's journey—Hermione Granger, James T. Kirk, Frodo Baggins, Anna & Elsa, Nacho Libre, and even YOU! This is our "call to adventure" to come check out JobNimbus. What do you have to lose? You might make a few new friends, learn about a sick new company doing some amazing things, and maybe even land a new job!

Mission:

Lead the architecture, foundation, and infrastructure of JobNimbus's frontend platforms. You will serve as the technical anchor driving our monorepo migration and building the shared agent surfaces that power all AI features across the company. Partnering with cross-functional engineering teams, you will eliminate technical debt, elevate UI infrastructure, and lay the foundation that accelerates every product feature we deliver.

What You'll Be Doing:

  • Own the frontend technical strategy on the Platform team, focusing strictly on core foundational work, infrastructure, and architectural excellence rather than feature-factory output.

  • Drive the completion of our monorepo migration, transitioning remaining legacy surfaces (16 of 46) to modern, scalable frontend standards.

  • Architect and build the shared agent surfaces, approval screens, and underlying framework that every team's AI capabilities will run through.

  • Evolve and maintain module and design-system infrastructure, ensuring consistency, high performance, and effortless reusability for all product engineers.

  • Act as the frontend expert on the platform team, guiding decisions around system performance, UI architecture, build tooling, and state management.

  • Write production-grade, highly resilient frontend code on the most complex and critical shared components of the platform.

  • Break down architectural friction across teams, unblocking product units by creating clean module boundaries and shared primitives.

  • Raise the bar on frontend quality, accessibility, testing standards, and web performance metrics across the entire engineering organization.

  • Mentor engineers across teams in modern web architecture, component design, and sustainable software practices.

  • Leverage AI-assisted tools to improve development velocity, streamline repetitive infrastructure work, and enhance overall code quality.

What Makes You the Hero for This Job:

  • 8+ years of software engineering experience with a heavy focus on complex, large-scale web applications and frontend architecture.

  • Deep mastery of modern JavaScript/TypeScript, client-side frameworks (React), build tools, and modern web performance tuning.

  • Proven track record of designing, building, and maintaining frontend platform infrastructure, shared component/design libraries, and monorepo architectures (e.g., Nx, Turborepo).

  • Direct experience building shared UI surfaces, developer tools, or AI/agent interaction patterns (approval screens, workflow orchestrators, or interactive cards).

  • Strong architectural perspective on micro-frontends, module federation, and legacy system migrations.

  • Proven ability to lead technical strategy within a domain and influence cross-functional teams without direct authority.

  • Comfort working in infrastructural roles where your "customers" are both end-users and your fellow software engineers.

  • Track record of mentoring engineers, establishing UI standards, and raising the engineering bar across an organization.

  • Strong knowledge of web performance metrics, front-end security practices, automated testing (unit, integration, e2e), and CI/CD pipelines for web applications.

  • Experience managing and designing shared state, complex client workflows, and resilient component APIs.

Superpowers:

  • Extreme Ownership. You own the outcomes, drive initiatives, and solve problems proactively. If you need direction and someone to hold your hand, this job is not for you.
  • Customer Obsessed. Everything we build should leave our customers saying, "Aw dip. This product is off the charts cool. Whoever wrote that code deserves a raise!"
  • Proactive Learning. You stay ahead of the curve, continuously learning and implementing cutting-edge technologies.
  • Team Commitment. You build, mentor, and lead a high-performance engineering team that delivers results together.
  • Self Awareness. You know your strengths, weaknesses, and how to surround yourself with the right talent to succeed.

Mentor (Hit us up to get more information)

Dustan Halbach - Specialist in hiring amazing people, lover of the outdoors, hunting, fly fishing, snowboarding, hockey and golf.