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Ai Chatbot Developer Jobs in Midvale, UT (NOW HIRING)

Ensign College

AI Solutions Manager

Salt Lake City, UT · On-site

$135K/yr

... re-engineering, Lean, Six Sigma, continuous improvement, service design, or organizational change management. * Experience implementing AI, automation, CRM, ERP, workflow, chatbot, knowledge ...

Pura

CX Knowledge Specialist

Pleasant Grove, UT · On-site

... and structure, not chatbot flow design itself). * Identify performance gaps or broken AI ... Partner directly with Product and Engineering on AI custom answers/fallback content, using ...

Pura

CX Knowledge Specialist

Pleasant Grove, UT · On-site

... and structure, not chatbot flow design itself). * Identify performance gaps or broken AI ... Partner directly with Product and Engineering on AI custom answers/fallback content, using ...

All JobsAi Chatbot Developer JobsAi Chatbot Developer Jobs in Midvale, UT

Ai Chatbot Developer information

See Midvale, UT salary details

$70.3K

$88.4K

$119.3K

How much do ai chatbot developer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai chatbot developer in Midvale, UT is $88,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $89,600.00 per year, depending on experience, location, and employer.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

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

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

What cities near Midvale, UT are hiring for Ai Chatbot Developer jobs?

Cities near Midvale, UT with the most Ai Chatbot Developer job openings:

Ai Chatbot Developer jobs near you
Infographic showing various Ai Chatbot Developer job openings in Midvale, UT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $88,416 per year, or $42.5 per hour.

Senior Java Developer (Business Automation & AI)

The AES Group

Taylorsville, UT • Remote

$58.50 - $74.75/hr

Contractor

Re-posted 22 days ago

Job description

Job Title: Senior Java Developer (Business Automation & AI)
Location: Remote, USA

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.
 

What you’ll do

  • Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.
  • Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.
  • Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.
  • Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.
  • Deploy and scale business automation services in Kubernetes/OpenShift environments.
  • Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

Required skills & experience

  • 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.
  • Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Proven experience with Kogito for cloud-native business processes.
  • Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).
  • Strong working knowledge of Amazon S3 for document storage and metadata tagging.
  • Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.
  • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

Nice to have

  • Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).
  • Python exposure for document parsing/automation.
  • Knowledge of BPMN 2.0 standards.
  • AWS certifications (Developer Associate and/or Machine Learning Specialty).

Ready to make an impact? Apply now and join us on our journey!