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Chatbot Developer Jobs in Texas (NOW HIRING)

GM Financial

Conversation Designer II

Arlington, TX · Hybrid

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 ...

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

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

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

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

Aquent

Content Strategist III

Austin, TX · On-site +1

$44 - $58/hr

... Engineering, Support Operations) with clear, well-documented context. * Thoroughly test and validate the support chatbot to verify issue resolution post-fix, debugging further if problems persist.

NTT DATA North America

AI Engineer

Coppell, TX · On-site

They are seeking a Senior Software Developer with expertise in AI-driven automation solutions ... chatbot development & IBM WatsonX. Preferred : • LangGraph (graphs, tool-nodes, memory/state ...

Raas Infotek LLC

AI Engineer

Texas City, TX

$98K - $117K/yr

Implement Large Language Model (LLM) solutions, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI chatbot applications. * Work with structured and unstructured datasets to develop ...

Compunnel

Lead AI Engineer

Coppell, TX · On-site

$94K - $124K/yr

JOB SUMMARY The Lead AI Engineer will be responsible for building AI-driven and agentic automation ... Chatbot development experience.

Compunnel

Senior AI Engineer

Coppell, TX · On-site

$96K - $132K/yr

JOB SUMMARY Seeking a Sr. AI Engineer with deep expertise in building AI-driven and agentic ... Preferred Qualifications • Chatbot development experience. • IBM WatsonX Platform experience.

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Strong experience in enterprise solution architecture, backend engineering, and distributed systems ... chatbot platforms. Strong understanding of LLM ecosystems including OpenAI, Claude, ChatGPT ...

New

Sunrise Systems Inc

Be Seen First

Hardware Laboratory Technician

Austin, TX · On-site

$25/hr

... chatbot tools (e.g., ChatGPT, Copilot) for log analysis, scripting assistance, and documentation • Document configurations, test results, and debug findings clearly • Coordinate with engineers ...

New

E-Solutions

Sr. Software Engineer

Plano, TX

$117K - $155K/yr

Personalization, Complex user mgmt and security requirements, Secure document mgmt (upload, download, permissions), Online collaboration tools, Alerts, notifications, Chatbot Responsibility Knowledge ...

HCLTech

Platform Engineer

Frisco, TX

... Developer) to lead the implementation, configuration, and optimization of the NICE CXone cloud ... Exposure to conversational AI and chatbot technologies such as Dialogflow or similar platforms

NTT DATA Americas, Inc

AI Engineer

Coppell, TX

$113K - $150K/yr

Seeking a Senior Software Developer with deep expertise and hands-on experience building AI driven ... Chatbot development & IBM WatsonX experience is a plus. Desired Skills: LangGraph (graphs, tool ...

CYNET SYSTEMS

Amazon Connect Specialist

San Antonio, TX · On-site

$60/hr

Job Overview: * 10+ experience as software engineering experience * 4+ years of hands-on experience ... Proven expertise in Amazon Connect, including portal widget integration, CRM integration, chatbot ...

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All JobsChatbot Developer JobsChatbot Developer Jobs in Texas

Chatbot Developer information

See Texas salary details

$69.4K

$87.3K

$117.9K

How much do chatbot developer jobs pay per year?

As of Jun 15, 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.

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
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:
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What cities in Texas are hiring for Chatbot Developer jobs? Cities in Texas with the most Chatbot Developer job openings:
Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Texas as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $87,342 per year, or $42 per hour.
Conversation Designer II

Conversation Designer II

GM Financial

Arlington, TX • Hybrid

Full-time

Retirement

Posted 6 days ago

GM Financial rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

74th of 142 rated vehicle equipment hire

Job description

Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

What makes you an ideal candidate?

  • Understanding and experience with design technologies and platforms such as Voiceflow, IBM Watson, Genesys, etc. 
  • 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 effectively with cross-functional teams. 
  • Exceptional UX writing for messaging and voice, with ability to adapt tone and style for conversational interfaces verses traditional marketing
  • Adaptability to accommodate constantly changing priorities
  • Self-motivated, positive attitude, quick to learn and a growth-oriented mindset
  • Strong interpersonal skills for effective collaboration and communicating technical requirements and solutions to a variety of audiences
  • Contact center and/or customer service experience a plus
  • Bilingual a plus (English + Spanish)
     

Experience

  • 3-5 years of experience designing and writing natural dialog flows for AI, machine learning, or chatbot tools required
  • High School Diploma or equivalent required
  • Bachelor's Degree in related field or equivalent work experience required

Licenses and Certifications

  • Certification in conversation design or UX design preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.


Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.


Compensation: Competitive pay and bonus eligibility.


Work Life Balance: Hybrid work environment, 2-days a week in Arlington, TX or Las Colinas, TX office.


NOTE: We are unable to consider candidates who require visa sponsorship for this position.


This position is not open to agency submissions

#LI-Hybrid

#LI-MH1

#GMFJobs

About the role: 

As a Conversation Designer II, you will shape engaging experiences for AI-driven Chatbots and IVR systems. You'll design intuitive dialog flows, validate functionality, and optimize language to ensure seamless interactions utilizing best practices in user-centered design. This role involves leading projects with Product Owners, collaborating with designers, researchers, developers, and business stakeholders to craft voice and messaging strategies. Ideal candidates bring expertise in voice interaction, information design, analytics, and user research, along with a passion for creating meaningful and impactful customer experiences.

In this role you will:

  • Own and continuously improve the overall chatbot/IVR design and user experience, using a variety of metrics and data-driven insights
  • Participate across all product phases: discovery, delivery, and iteration\
  • Lead collaborative design reviews with the product team to ensure user-centric solutions.
  • Delivers in a fast-paced, collaborative agile environment
  • Practices holistic experience design
  • Gathers a deep understanding of product business requirements, customer behavior, and technical limitations
  • Present and advocate for user-centered design and effectively articulate design decisions 
     

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