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Chatbot Jobs in Utah (NOW HIRING)

Excited to integrate AI-powered features into front-end workflows, such as real-time personalized UI elements, dynamic content rendering, or customized chatbot interactions using prompt engineering.

Chatbot information

See Utah salary details

$25

$50

$69

How much do chatbot jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for chatbot in Utah is $50.77, according to ZipRecruiter salary data. Most workers in this role earn between $42.45 and $57.79 per hour, depending on experience, location, and employer.

What is a Chatbot job?

A Chatbot job involves designing, developing, and maintaining AI-powered conversational agents that interact with users through text or voice. Professionals in this field work on training models, writing dialogue scripts, and improving chatbot performance using machine learning and natural language processing (NLP). They may collaborate with developers, UX designers, and data scientists to enhance user experience and ensure accurate, helpful responses.

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

To thrive as a Chatbot Developer, you need strong programming skills (often in languages like Python or JavaScript) and an understanding of natural language processing (NLP) concepts. Familiarity with chatbot frameworks (such as Dialogflow, Microsoft Bot Framework, or Rasa), API integration, and cloud platforms is highly beneficial. Excellent problem-solving skills, creativity, and the ability to clearly communicate with stakeholders are important soft skills in this role. These abilities are crucial to designing intuitive, effective chatbot solutions that enhance user experiences and meet business objectives.

What are some typical challenges faced when designing and maintaining a chatbot?

Professionals in chatbot development often encounter challenges such as accurately interpreting diverse user inputs, handling unexpected queries, and ensuring the chatbot can scale to accommodate high traffic. Maintaining a balance between automation and the need to escalate complex issues to human agents is also important. Additionally, staying updated with rapidly evolving NLP technologies and user experience best practices is essential. You'll likely collaborate with product managers, UX designers, and customer support teams to continuously improve the chatbot's effectiveness. Overcoming these challenges can be highly rewarding, leading to a more engaging and valuable tool for users.

What are the most commonly searched types of Chatbot jobs in Utah? The most popular types of Chatbot jobs in Utah are:
What job categories do people searching Chatbot jobs in Utah look for? The top searched job categories for Chatbot jobs in Utah are:
What cities in Utah are hiring for Chatbot jobs? Cities in Utah with the most Chatbot job openings:
Infographic showing various Chatbot job openings in Utah as of May 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $105,606 per year, or $50.8 per hour.
Application Developer

Application Developer

RICEFW Technologies, Inc.

Salt Lake City, UT • On-site

Contractor

Posted 2 days ago


Job description

Job Title: Senior Java Developer (Business Automation & AI)
We are seeking a Java Developer (3-5 years) to join our team and contribute experience and technical expertise to our business logic and self-service support systems. You will be responsible for maintaining and migrating complex business rules using Drools and Kogito. Simultaneously building out our next-generation AI Chatbot infrastructure. A key focus of this role is the digital transformation of our legacy documentation (Adobe RoboHelp) into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) architectures.
Key Responsibilities:
  • Business Automation: Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.
  • AI Implementation: Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.
  • Data Pipeline & ETL: Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.
  • Backend Development: Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.
  • Cloud Orchestration: Deploy and scale business automation services within a Kubernetes/OpenShift environment.

Required Technical Skills:
  • Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
  • Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
  • AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
  • **Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
  • Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
  • Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Preferred Qualifications:
  • Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
  • Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
  • Knowledge of BPMN 2.0 standards.
  • AWS Certified Developer or AWS Machine Learning Specialty certification.