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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 ...

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 ...

You have personally built and operated at least one AI agent or agentic workflow in production. You ... Strong engineering judgment across models, orchestration, APIs, data and integrations, permissions ...

New

Software Engineer

Provo, UT · On-site

$120 - $170/hr

Responsibilities 1. AI Agent Development Build and scale AI agents for interviews, assessments ... Contribute to improving developer workflows with GitHub, CI/CD, and agile best practices. 4. ...

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

They will build productionready agent runtimes-state and memory systems, planners, and toolrouting ... Software Engineering including 2+ years in AI/ML, LLMs, agent-based systems or large-scale ...

Showing results 41-60

Ai Agent Developer information

See Utah salary details

$26.4K

$43.6K

$90.6K

How much do ai agent developer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai agent developer in Utah is $43,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $46,400.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

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 job categories do people searching Ai Agent Developer jobs in Utah look for?

The top searched job categories for Ai Agent Developer jobs in Utah are:

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

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

Infographic showing various 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, with an average salary of $43,634 per year, or $21 per hour.

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.