1

Chatbot Developer Jobs in Texas (NOW HIRING)

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

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 ...

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 ...

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

IVR QA Engineer

Dallas, TX · On-site

$70 - $110/hr

Exposure to chatbot/voice bot testing (Amazon Lex or equivalent) * Experience in automation ... Familiarity with CI/CD and DevOps testing practices * Strong analytical and problem‑solving ...

New

Senior Finance AI & Automation Developer

Carrollton, TX · On-site +1

$95K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent * Project ...

Bachelor''s or Master's degree in Computer Science, Software Engineering, Data Science, or related field. Experience with Java. Strong experience in AI/ML. Chatbot development experience is a Big ...

Required : • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role ... chatbot development, automation frameworks, and AI-based decision systems. • Knowledge of AI ...

Enablement Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Enablement Engineer is a technical individual contributor responsible for implementing, testing ... chatbot technical build in Year 2. This role sits within the SEE team and reports to the Sr. ...

Enablement Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Enablement Engineer is a technical individual contributor responsible for implementing, testing ... chatbot technical build in Year 2. This role sits within the SEE team and reports to the Sr. ...

AI Engineer

San Antonio, TX · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with end-to-end chatbot or agent to agent ( A2A ) development * Experience with ... AI Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into ...

... and chatbot development, alongside traditional silicon design areas such as static/dynamic IR ... Experience in electrical engineering machine learning applications * Experience with large language ...

Experience with chatbot, conversational AI, or virtual assistant platforms. * Experience with prompt engineering and model evaluation techniques. * Experience with GPU-based AI workloads and ...

Showing results 41-60

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 20, 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 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.

AI.ML Engineer (Google)

Addison Group

San Antonio, TX • On-site

$125K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 3 days ago


Job description

Job Title: AI.ML Engineer (Google)

Compensation: $125000 / Year

Benefits: Medical insurance, Vision insurance, Dental insurance, 401(k), Disability insurance

The AI/ML Solutions Engineer is responsible for designing, building, and supporting scalable AI and machine learning solutions that improve business operations and drive innovation across the organization. This hands-on role partners closely with finance, operations, and business leaders to identify opportunities for automation and develop production-ready AI applications, with a strong focus on Generative AI and LLM-powered solutions within healthcare, insurance, and regulated environments.

Key Responsibilities

  • Design and deploy AI/ML solutions using Google Cloud Platform tools such as Vertex AI, Gemini APIs, BigQuery, and Dataflow.
  • Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions.
  • Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices.
  • Build and maintain end-to-end ML pipelines, including deployment, monitoring, and automated retraining.
  • Ensure solutions meet security, compliance, and governance standards including SOC 1, SOC 2, HIPAA, and CMMC-aligned controls.
  • Partner with business stakeholders to translate operational challenges into scalable AI solutions.
  • Communicate technical concepts to both technical and non-technical audiences and support responsible AI adoption.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 3–5 years of experience in AI/ML engineering or data science.
  • Strong experience with GCP services, Python, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
  • Knowledge of cloud security, IAM, encryption, and secure development practices.
  • Preferred experience in healthcare, insurance, or other regulated industries, along with familiarity with HIPAA, SOC compliance, and AI governance.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.