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Chat Bot Jobs in Dallas, TX (NOW HIRING)

This role is focused on engineering production grade AI systems not chat bot implementation. The ideal candidate will have deep expertise in software engineering, machine learning systems, LLMs ...

IVR QA Engineer

Dallas, TX · On-site

$70 - $110/hr

Test voice, chat, and self-service interactions for accuracy and usability * Test integrations ... Exposure to chatbot/voice bot testing (Amazon Lex or equivalent) * Experience in automation ...

New

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

Chat Bot information

See Dallas, TX salary details

$9

$36

$72

How much do chat bot jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for chat bot in Dallas, TX is $36.14, according to ZipRecruiter salary data. Most workers in this role earn between $13.52 and $53.37 per hour, depending on experience, location, and employer.

What is a chat bot?

A Chat Bot job typically involves developing, managing, or improving chatbot systems that automate conversations with users. Responsibilities may include designing conversation flows, integrating AI models, and optimizing responses for user engagement. Roles can vary from customer support to AI development, depending on the organization's needs.

What are the typical daily responsibilities of a chat bot developer?

As a Chat Bot Developer, your daily responsibilities often include designing, building, and refining conversational flows, integrating bots with various platforms (like websites or messaging apps), and coordinating with product managers or user experience teams to align features with business goals. You may also spend time training the bot to better understand user intent, analyzing chat logs to identify areas for improvement, and fixing arising technical issues. Collaboration with data scientists, software engineers, and QA professionals is common to ensure smooth deployment and performance. Staying up-to-date on advances in NLP and AI technologies is also a key part of the role.

What are the key skills and qualifications needed to thrive in the chat bot position, and why are they important?

To thrive as a Chat Bot Developer, you need strong programming skills (typically in Python, JavaScript, or similar languages), experience with natural language processing (NLP), and an understanding of AI principles. Familiarity with chat platform APIs, machine learning frameworks, and cloud-based deployment tools is important, as are relevant technical certifications. Excellent problem-solving abilities, creativity, and effective communication skills help set you apart in designing user-centric conversational flows. These capabilities are necessary to build intuitive, robust chat bots that enhance customer engagement and meet organizational needs.

What are popular job titles related to Chat Bot jobs in Dallas, TX?

For Chat Bot jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Chat Bot jobs in Dallas, TX look for?

The top searched job categories for Chat Bot jobs in Dallas, TX are:

Infographic showing various Chat Bot job openings in Dallas, TX as of August 2026, with employment types broken down into 59% Full Time, 10% Part Time, and 31% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $75,170 per year, or $36.1 per hour.

Agentic AI Engineer

RSA Tech Group

Dallas, TX • On-site

Other

Posted 28 days ago


Job description

We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale AI agents for large organizations. This role is focused on engineering production grade AI systems not chat bot implementation. The ideal candidate will have deep expertise in software engineering, machine learning systems, LLMs, agent frameworks, and cloud-native architectures to build scalable, secure, and reliable AI solutions.