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Chatbot Developer Jobs in Texas (NOW HIRING)

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 ...

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 ...

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.

Forhyre

Test Automation - Manager

Dallas, TX · On-site

$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.

Photon

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 ...

Photon

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 ...

Gartner

Sr Data Scientist

Irving, TX · On-site

  • Medical

  • Retirement

  • PTO

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

GM Financial

Conversation Designer II

Arlington, TX · Hybrid

  • Retirement

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 ...

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Showing results 21-40

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 Aug 19, 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.
More about Chatbot Developer jobs

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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:

Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $87,342 per year, or $42 per hour.

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX • On-site

$55.25 - $73.75/hr

Contractor

Re-posted 4 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master’s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Area                                    Key Skills/Tools

Conversational AI Design                       Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAI                                      Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineering                                   CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automation                             Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integration               Python, RESTful APIs, backend integration