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Full Time Ai Agent Developer Jobs in Utah (NOW HIRING)

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 ...

Contribute to AI agent and workflow automation using Microsoft Copilot Studio, as a secondary ... Time Type: Full time Job Type: Regular Work Shift: N/A Pay Rate Type: Salary Benefits and Perks ...

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 ...

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 ...

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 ... You must be work authorized in the United States on a full time basis without the need for any ...

AI Revenue Engineer

Provo, UT · On-site

$60K - $90K/yr

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT) About Atonom At Atonom.ai, we are ... Month 2: Take ownership of one part of the pipeline and ship your first AI-driven workflow or agent ...

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT) About Atonom At Atonom.ai, we are ... Month 2: Take ownership of one part of the pipeline and ship your first AI-driven workflow or agent ...

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT) About Atonom At Atonom.ai, we are ... Month 2: Take ownership of one part of the pipeline and ship your first AI-driven workflow or agent ...

Join a collaborative engineering team where you'll design and develop PCB layouts for circuit card ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

Build agent orchestration patterns for multi-step workflows, tool calling, MCP servers, state ... Mentor engineers on applied AI practices, including prompt and context engineering, agent design ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Build agent orchestration patterns for multi-step workflows, tool calling, MCP servers, state ... Mentor engineers on applied AI practices, including prompt and context engineering, agent design ...

Director, Talent Acquisition

Lehi, UT · On-site

$97K - $134K/yr

In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time ... Technical recruiting background - you've hired engineers, product, or other technical roles * Deep ...

Showing results 41-60

Full Time Ai Agent Developer information

What does a full time AI agent developer do?

A Full Time AI Agent Developer is responsible for designing, building, and maintaining artificial intelligence systems known as 'agents' that can perform tasks autonomously or assist humans in decision-making. This role involves programming, working with machine learning models, and integrating AI agents into software applications. Developers often collaborate with data scientists, engineers, and stakeholders to ensure the AI agents meet user needs and function reliably in real-world environments.

What are the key skills and qualifications needed to thrive as a full time AI agent developer?

To thrive as a Full Time AI Agent Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning, deep learning, and natural language processing, typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools such as Git, as well as experience with APIs and cloud platforms, are commonly required. Creative problem-solving, collaboration, and adaptability are valuable soft skills that set top candidates apart. These skills ensure the effective design, implementation, and continuous improvement of intelligent agents in a dynamic and evolving technology landscape.

What are some typical challenges full time AI agent developers face when deploying AI agents into production environments?

Full Time AI Agent Developers often encounter challenges such as ensuring the reliability and scalability of AI agents when moving from development to production. Integrating agents with existing systems, handling real-world data variability, and maintaining performance under changing workloads are common hurdles. Additionally, developers must prioritize model monitoring, updating, and compliance with data privacy standards, collaborating closely with DevOps, data engineers, and product managers. Proactively addressing these challenges ensures smoother deployments and ongoing agent effectiveness.

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

AspectFull Time Ai Agent DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentDeveloping AI agents for chatbots, virtual assistants, or automation toolsDesigning and deploying machine learning models for various applications
Industry UsageTech companies, customer service, automation firmsTech, finance, healthcare, research institutions

While both roles involve AI and programming, Full Time Ai Agent Developers focus on creating interactive AI agents for specific applications, whereas Machine Learning Engineers develop broader machine learning models for diverse data-driven solutions.

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 Full Time Ai Agent Developer jobs in Utah?

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

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

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

Infographic showing various Full Time 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.

Agentic AI Engineer

Taxbit

Salt Lake City, UT • Hybrid

$130K - $170K/yr

Full-time

Retirement

Re-posted 14 days ago


Job description

Opportunity for Impact

TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with tax and compliance workflows. You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to TaxBit's enterprise customers.

We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology.


Role and Responsibilities

  • Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda
  • Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts
  • Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions
  • Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring
  • Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team
  • Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback
  • Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Professional Qualifications

  • 3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production
  • Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
  • Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
  • Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
  • Familiarity with AI observability, evaluation frameworks, and responsible AI practices
  • Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
  • Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience

Personal Characteristics

  • Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed
  • Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus
  • Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
  • High ownership mentality - you care about what happens after the code ships
  • Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment

Compensation 

The base salary range for this role is $130,000 - $170,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Benefits & Perks

  • Competitive cash compensation (based on experience)
  • Equity (RSUs)
  • Competitive benefits package
  • A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more 
  • Hybrid working model: 3 days in-office, 2 days WFH/flexible
  • Monday team lunches, snacks and drinks 
  • Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge 
  • Paid parental leave to bond with your child 
  • Fertility Benefit 
  • Autonomous work and flexibility in how work is performed