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Ai Chatbot Development Jobs in Utah (NOW HIRING)

Packsize International LLC

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement will operate in a ... Conversational AI / chatbot / agent solutions * RAG pipelines and LLM-based applications * API ...

Packsize

Sr. AI Engineer

Salt Lake City, UT

$101K - $138K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement willoperatein a co ... Conversational AI / chatbot / agent solutions * RAG pipelinesand LLM-based applications * API ...

All JobsAi Chatbot Development JobsAi Chatbot Development Jobs in Utah

Ai Chatbot Development information

What is AI chatbot development?

AI chatbot development is the process of designing, building, and deploying conversational agents powered by artificial intelligence. These chatbots use natural language processing (NLP) and machine learning algorithms to understand and respond to user queries automatically. AI chatbots can be integrated into websites, messaging platforms, and customer service systems to provide support, automate tasks, and enhance user experiences. Developers use various frameworks and tools to create chatbots that can handle complex conversations and continuously improve through user interactions.

What is the difference between Ai Chatbot Development vs Natural Language Processing (NLP) Engineer?

AspectAi Chatbot DevelopmentNatural Language Processing (NLP) Engineer
Required SkillsAI programming, chatbot frameworks, UI designMachine learning, linguistics, text analysis
Work EnvironmentSoftware development teams, customer service projectsResearch labs, AI development teams
Industry UsageCustomer support, marketing, salesData analysis, language understanding, AI research
CertificationsAI certifications, programming coursesML certifications, NLP courses

While Ai Chatbot Development focuses on creating interactive chatbots for various applications, NLP Engineers specialize in developing algorithms that enable machines to understand and process human language. Both roles require AI and programming skills, but NLP Engineers often have a stronger background in linguistics and machine learning research. Understanding these differences helps organizations choose the right expertise for their AI projects.

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

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), knowledge of natural language processing (NLP), and experience with machine learning, typically supported by a computer science degree or relevant certifications. Familiarity with chatbot frameworks (like Dialogflow, Microsoft Bot Framework, or Rasa), cloud platforms, and API integration is crucial. Creative problem-solving, adaptability, and effective communication are important soft skills in this role. These skills and qualities enable the creation of intelligent, user-friendly chatbots that meet business needs and deliver engaging customer experiences.

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

AI Chatbot Developers often encounter challenges when integrating chatbots with legacy business systems, such as CRM or ERP platforms. These challenges include ensuring secure data exchange, managing inconsistent data formats, and maintaining compatibility with older APIs. Developers need to work closely with IT and data teams to understand system limitations and create robust middleware solutions. Strong problem-solving skills and clear communication across departments are essential for successful integrations.
What cities in Utah are hiring for Ai Chatbot Development jobs? Cities in Utah with the most Ai Chatbot Development job openings:
Ai Chatbot Development jobs near you
Application Developer

Application Developer

RICEFW Technologies, Inc.

Salt Lake City, UT • On-site

Contractor

Posted 7 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.

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