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Chatbot Developer Jobs in Texas (NOW HIRING)

Test Automation - Manager

Plano, TX · On-site

$44.25 - $58.50/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.

Sr Business Analyst | Onsite | Dallas

Dallas, TX · On-site

$91K - $118K/yr

... success in implementing ChatBot projects. The ideal candidate will have a comprehensive ... Work collaboratively with cross-functional teams including developers, testers, and project ...

Prompt Engineering, Context Engineering, Harness Engineering * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation ...

Prompt Engineering, Context Engineering, Harness Engineering * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation ...

Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of Natural Language Processing and Prompt Engineering * Familiar with Agile principles and able to work ...

Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions. * Implement prompt engineering, RAG pipelines, model tuning, and ...

Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of Natural Language Processing and Prompt Engineering * Familiar with Agile principles and able to work ...

Senior, Software Engineer

Dallas, TX · On-site

$121K - $159K/yr

About the team The Arrakis team develops an advanced LLM-powered chatbot enabling voice interaction ... Option 2: 5 years' experience in software engineering or related area. Preferred Qualifications.

Sr Software Engineer TECHM-JOB-22462

Plano, TX · On-site

$117K - $155K/yr

Keylent Inc is seeking a Senior Software Engineer with extensive experience in NET Core development ... Chatbot • Knowledge of more than one technology • Basics of Architecture and Design ...

Showing results 21-40

Chatbot Developer information

See Texas salary details

$69.4K

$87.3K

$117.9K

How much do chatbot developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for chatbot developer in Texas is $87,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $88,500.00 per year, depending on experience, location, and employer.

What is a chatbot developer?

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 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.

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 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.

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.

Is a chatbot developer a good career?

A chatbot developer is a viable career choice as it involves designing and implementing conversational AI using programming languages, natural language processing, and machine learning tools. The demand for chatbot developers is growing across industries such as customer service, healthcare, and finance, offering opportunities for specialization and career advancement.

What are popular job titles related to Chatbot Developer jobs in Texas?

For Chatbot Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Chatbot Developer jobs in Texas look for?

The top searched job categories for Chatbot Developer jobs in Texas are:

What cities in Texas are hiring for Chatbot Developer jobs?

Cities in Texas with the most Chatbot Developer job openings:

Infographic showing various Chatbot Developer job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, 13% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $87,342 per year, or $42 per hour.

Data Scientist/Big Data Architect

Irving, TX • On-site

Apex Informatics
IT Services • 1 - 10 employees

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Job Title- Data Scientist/Big Data Architect
Location- Irving Texas 75062 (Hybrid), (3 days onsite/2 WFH)
Duration- 09 Months Contract
Job Description:
Required Qualifications:
• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure)
• 4+ years of Linux experience
• 2+ years of experience with Artificial Intelligence, Business Intelligence or Machine Learning
• Knowledge and understanding of Machine Learning, Deep Learning, Linear Regression, Models (Tensor Flow), Business Intelligence and Analytics
• Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant
• Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapR
• Ability to lead projects/initiatives with high risk and complexity