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Chatbot Developer Jobs in Prosper, TX (NOW HIRING)

Purple Drive Technologies

AI Developer

Richardson, TX · On-site

RESPONSIBILITIES CHATBOT DEVELOPMENT & IMPLEMENTATION * Design, develop, and deploy conversational ... Apply DevOps approaches for continuous integration and deployment * Implement CI/CD pipelines, Git ...

Forhyre

Tech Lead - Conversational AI

Plano, TX

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a ...

Forhyre

Tech Lead - Conversational AI

Dallas, TX

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a ...

Krest Global Solutions

AWS Connect Developer

Dallas, TX · Remote

$60 - $65/hr

AWS Connect Developer Location : Remote Compensation : 50-60$/Hr on C2C/1099 Work Authorization ... chatbot automation. · Collaborate with business teams to automate workflows (lead management ...

Gartner

Sr. Data Scientist

Irving, TX

Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems * Prompt engineering, LLM fine-tuning, and model ...

Gartner, Inc.

Sr. Data Scientist

Irving, TX · On-site

Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems * Prompt engineering, LLM fine-tuning, and model ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Solid understanding and practical application of MLOps best practices for chatbot pipelines ...

Gartner

Sr. Data Scientist

Irving, TX · On-site

Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems * Prompt engineering, LLM fine-tuning, and model ...

Tech Tammina LLC

AWS Connect Engineer

Addison, TX · On-site

AWS Connect Engineer Level 2 or Level 3 Duration: 6-month contract-to-hire. Worksite Location: 4 ... IVR / Chatbot Development, including deep knowledge of best practices in IVR and chatbot creation ...

Gartner

Director, Data Science

Irving, TX · Remote

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

Gartner

Director, Data Science

Irving, TX · Remote

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

Forhyre

Test Automation - Manager

Dallas, TX

$45.50 - $60/hr

... C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing, PTF, RPA ... Drive the adoption of best software engineering practices including CI/CD and automated testing.

Forhyre

Test Automation - Manager

Plano, TX

$44 - $58.25/hr

... C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing, PTF, RPA ... Drive the adoption of best software engineering practices including CI/CD and automated testing.

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Showing results 1-20

All JobsChatbot Developer JobsChatbot Developer Jobs in Prosper, TX

Chatbot Developer information

See Prosper, TX salary details

$68.2K

$85.9K

$115.8K

How much do chatbot developer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for chatbot developer in Prosper, TX is $85,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $87,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For a Chatbot Developer, roles that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. These include positions like AI ethicists, user experience designers, and cybersecurity specialists, which involve nuanced judgment and human oversight. Continuous learning and specialized skills in AI tools and programming languages can also help ensure job security in this field.

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

One common challenge Chatbot Developers encounter is ensuring seamless integration of chatbots with legacy systems and diverse databases, which may have inconsistent data formats or limited APIs. Developers often need to troubleshoot compatibility issues, manage security protocols, and handle real-time data synchronization. Close collaboration with IT teams and clear documentation are essential for successful integration and ongoing maintenance. Overcoming these challenges can lead to more robust and scalable chatbot solutions.

Is chatbot developer a good career?

A chatbot developer designs and builds conversational AI systems, often requiring skills in programming, natural language processing, and machine learning. The field is growing due to increased demand for automated customer service and virtual assistants, offering opportunities in various industries with competitive salaries and potential for career advancement.

What Does a Chatbot Developer Do?

As a chatbot developer, you create applications that automate customer services or other communication processes. You design programs that use artificial intelligence to communicate with humans via text or audio. You develop chatbot programs so that they can communicate in a variety of scenarios. You test your application and debug it if necessary. Your duties include reviewing and simplifying code when needed. As a chatbot developer, you may also help companies implement bots in their operations. You often work with established AI platforms such as Microsoft Azure Cognitive Services and use a variety of computer languages, including Python, C++, and JavaScript.

How to become a chatbot developer?

To become a chatbot developer, you should learn programming languages such as Python or JavaScript, gain experience with natural language processing tools like Dialogflow or Rasa, and understand API integration. Building a portfolio of chatbot projects and obtaining relevant certifications can also enhance your prospects in this field.

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

To thrive as a Chatbot Developer, you need expertise in programming languages like Python or JavaScript, a solid understanding of natural language processing (NLP), and experience with chatbot frameworks such as Dialogflow or Microsoft Bot Framework. Familiarity with cloud platforms, APIs, and version control systems (e.g., Git) is also commonly required, along with certifications in AI or related fields being advantageous. Strong problem-solving skills, creativity, and effective communication help developers design user-friendly and intuitive conversational experiences. These skills ensure the creation of reliable, scalable, and engaging chatbots that effectively address user needs and business goals.

What are Chatbot Developers?

Chatbot Developers are professionals who design, build, and maintain conversational programs, often using artificial intelligence or scripted logic, to interact with users via messaging platforms, websites, or apps. They work with programming languages, natural language processing (NLP), and machine learning frameworks to create chatbots that can answer questions, provide customer support, or automate tasks. Their role involves understanding user needs, integrating chatbots with existing systems, and ensuring a seamless, human-like conversational experience.

What is the difference between Chatbot Developer vs AI Developer?

AspectChatbot DeveloperAI Developer
Required CredentialsProgramming skills, knowledge of chatbot platforms, basic AI understandingAdvanced AI/ML certifications, programming, data science background
Work EnvironmentTech companies, customer service, e-commerce, startupsResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageFocus on conversational interfaces, customer engagementBroader AI applications, including machine learning, NLP, robotics
Search & Comparison IntentUnderstanding chatbot roles, skills, and job scopeExploring broader AI career paths and skills

While both roles involve AI concepts, a Chatbot Developer specializes in creating conversational interfaces for customer engagement, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The roles share overlapping skills but differ in scope and industry focus.

How much do chatbot developers make?

Chatbot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced developers with expertise in AI, natural language processing, and programming languages like Python or JavaScript can earn higher salaries.
More about Chatbot Developer jobs
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Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Prosper, TX as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $85,855 per year, or $41.3 per hour.

AI Developer

Purple Drive Technologies

Richardson, TX • On-site

Contractor

Posted 27 days ago

Job description

Overview:
POSITION SUMMARY
We are seeking an experienced Conversational AI Developer for a 6-month contract position with flexible location options in Richardson, Scottsdale, or Woonsocket. This role focuses on developing and implementing chatbot solutions using IBM Watson Assistant and other conversational AI platforms. The ideal candidate will have extensive experience in software delivery, chatbot development, and applying AI best practices to create intelligent conversational experiences.
RESPONSIBILITIES
CHATBOT DEVELOPMENT & IMPLEMENTATION
  • Design, develop, and deploy conversational AI solutions using IBM Watson Assistant
  • Build chatbots using alternative platforms such as Google Dialogflow CX, LivePerson, Amazon Lex, and Kore.ai
  • Implement natural language processing (NLP) capabilities for enhanced user interactions
  • Create conversational flows that provide intuitive and effective user experiences
  • Integrate chatbots with existing enterprise systems and applications
AI TRAINING & OPTIMIZATION
  • Train and improve intent recognition through curating appropriate training datasets
  • Apply conversational AI best practices including NLP and training data optimization
  • Continuously refine chatbot performance through data analysis and user feedback
  • Implement machine learning techniques to enhance conversation quality
  • Monitor and optimize chatbot accuracy and response effectiveness
SOFTWARE DEVELOPMENT & DELIVERY
  • Participate in end-to-end software development processes within Agile environments
  • Apply DevOps approaches for continuous integration and deployment
  • Implement CI/CD pipelines, Git version control, and unit testing practices
  • Manage source code effectively throughout the development lifecycle
  • Collaborate with cross-functional teams to deliver high-quality software solutions
CLOUD DEPLOYMENT & MANAGEMENT
  • Deploy conversational AI solutions using cloud development and deployment principles
  • Manage cloud-based infrastructure for chatbot hosting and scaling
  • Ensure optimal performance, security, and reliability of deployed solutions
  • Implement monitoring and logging for production chatbot systems
QUALIFICATIONS
REQUIRED EXPERIENCE
  • 5+ years of software delivery experience
  • 3+ years of chatbot development experience with IBM Watson Assistant or similar platforms
  • 3+ years of experience training and improving intent recognition systems
  • 3+ years applying conversational AI best practices (NLP and training data optimization)
  • 1+ years of experience with CI/CD, Git, unit testing, and source code management
  • 1+ years of cloud development and deployment experience
  • 1+ years working in Agile environments with DevOps knowledge
TECHNICAL SKILLS
Conversational AI Platforms:
  • IBM Watson Assistant (primary requirement)
  • Google Dialogflow CX
  • LivePerson
  • Amazon Lex
  • Kore.ai
  • Understanding of conversational AI architecture and design patterns
Development & Programming:
  • Backend development experience (Java, Node.js preferred)
  • Multi-language programming background (Python, Java, JavaScript, TypeScript)
  • RESTful API development and integration
  • Database design and management
  • Understanding of microservices architecture
DevOps & Cloud:
  • CI/CD pipeline implementation and management
  • Git version control and branching strategies
  • Unit testing frameworks and practices
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Container technologies (Docker, Kubernetes)
AI & Machine Learning:
  • Natural Language Processing (NLP) techniques
  • Intent recognition and entity extraction
  • Training data curation and management
  • Machine learning model optimization
  • Speech recognition and text-to-speech technologies
PREFERRED QUALIFICATIONS
  • Experience with IBM Watson Orchestrate and Watson Assistant
  • IBM Voice Gateway and/or IBM Discovery experience
  • Knowledge of automated speech recognition and SSML tagging for TTS
  • Certifications in IBM Watson or other conversational AI platforms
  • Experience with voice-enabled conversational interfaces
  • Background in linguistics or computational linguistics

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