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Remote Chatbot Jobs in Texas (NOW HIRING)

Booz Allen Hamilton, Inc.

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246114 Location: San Antonio,TX,US Share job via: Share AI Engineer ... Experience with end-to-end chatbot or agent to agent (A2A) development * Experience with enterprise ...

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All JobsChatbot JobsRemote Chatbot JobsRemote Chatbot Jobs in Texas

Remote Chatbot information

See Texas salary details

$26

$51

$70

How much do remote chatbot jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote chatbot in Texas is $51.96, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $59.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the remote chatbot position?

To thrive as a Remote Chatbot, you must have expertise in natural language processing, conversational AI design, and relevant programming languages such as Python, as well as a degree in computer science or a related field. Familiarity with chatbot development platforms (like Dialogflow or Microsoft Bot Framework), API integrations, and cloud-based deployment tools is often required. Strong communication, problem-solving abilities, and attention to detail help distinguish top candidates in this field. These skills enable the creation of effective, user-friendly chatbots that meet business objectives and enhance customer experience in remote work environments.

What is a remote chatbot?

A Remote Chatbot job involves managing, programming, or supporting AI-powered chatbots to assist customers, answer questions, or automate tasks. This role can include chatbot development, training AI models, writing responses, or monitoring chatbot interactions. It often requires skills in customer service, programming, or AI, depending on the position. Remote chatbot jobs allow professionals to work from anywhere while ensuring efficient and accurate chatbot performance.

What are the typical daily responsibilities of a remote chatbot?

As a Remote Chatbot developer, your daily tasks often include designing conversational flows, writing and testing scripts, and integrating chatbots with external APIs or databases for seamless user interactions. You’ll collaborate remotely with product managers, UX designers, and sometimes customer support teams to ensure the chatbot meets user needs and business goals. Regularly reviewing chatbot analytics and updating responses based on user feedback is also common. This role typically requires proactive communication and independent work, making strong organizational skills essential for success in a remote setting.

What are the most commonly searched types of Chatbot jobs in Texas?

The most popular types of Chatbot jobs in Texas are:

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

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

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

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

What cities in Texas are hiring for Remote Chatbot jobs?

Cities in Texas with the most Remote Chatbot job openings:

Remote Chatbot jobs near you
Infographic showing various Remote Chatbot job openings in Texas as of August 2026, with employment types broken down into 11% Internship, 53% Full Time, 13% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $108,075 per year, or $52 per hour.

AWS Sr. Developer Node.js/TypeScript

TTEC Digital

Austin, TX • On-site, Remote

$115K - $135K/yr

Full-time

Re-posted 9 hours ago

Job description

TTEC Digital is seeking an MSP Sr. Developer to join our AWS Partner Practice. This is a remote role based in the United States. As a core member of our Managed Services Practice (MSP), you will shift focus from project-based delivery to ongoing managed services - owning, operating, and continuously improving AWS-based solutions for our clients over the long term.
Our MSP teams function as autonomous units supporting multiple client environments simultaneously. Unlike project delivery teams, MSP teams are responsible for the health, reliability, and evolution of live production systems. You will lead a team of 3-4 developers, working closely with a dedicated MSP project/service manager and Technical Account Managers to handle incident response, change management, continuous improvement initiatives, and proactive infrastructure enhancements.
The MSP Sr. Developer reports to the Executive Director and is expected to contribute to Best Practice Documentation and internal tooling standards across the organization.
What You Will Be Doing:
  • Leading daily standups and service review meetings with your internal team and clients as needed, covering ongoing incidents, change requests, and operational health.

  • Owning the operational stability of client AWS environments - monitoring, incident response, root cause analysis, and remediation.

  • Managing and executing change requests and enhancement work through Jira, including infrastructure-as-code updates using CloudFormation and Serverless Framework templates.

  • Collaborating with clients on roadmap planning, translating evolving business needs into actionable backlog items for your MSP team.

  • Mentoring junior developers on both technical skills and the discipline required for managed services: documentation, runbooks, and SLA awareness.

  • Staying current on the latest AWS services and broader cloud industry trends, proactively identifying opportunities to improve client environments.

  • Contributing to internal MSP best practices, tooling, and playbooks to improve team efficiency and service quality.

  • Handling professional conflict constructively - the lead has final say on technical decisions and is responsible for maintaining team morale and cohesion.

What You Will Bring:
  • 7+ years of development experience with a strong, recent focus on Node.js/TypeScript and AWS services.

  • Demonstrated expert knowledge of AWS services and cloud architecture, including Lambda, DynamoDB, S3, CloudFormation, RDS, Redshift, and VPC/network configurations.

  • Experience operating in a managed services or operational support environment - not just project delivery - with an understanding of SLAs, incident management, and change control.

  • Thorough knowledge of agile and ITSM methodologies; comfortable blending Scrum practices with service management disciplines.

  • Ability to mentor junior team members constructively, fostering growth while maintaining strong team relationships.

  • A mindset of seeking to understand before prescribing a solution - essential in long-term client relationships.

  • Willingness to stand behind your convictions while committing to team decisions.

  • A genuine love of technology and continuous learning, particularly the latest services and best practices from AWS.

Desired Skills
  • Experience with the Serverless Framework (serverless.com).

  • Python development experience.

  • Familiarity with observability and monitoring tools (e.g., CloudWatch)

  • Background in Amazon Connect or contact center technology.

  • Experience designing and integrating AI/ML solutions using AWS AI services such as Amazon Lex, Bedrock, SageMaker, Comprehend, or Transcribe.

  • Familiarity with large language model (LLM) integration patterns, prompt engineering, and AI-powered automation within cloud-native architectures.

  • Experience with natural language processing (NLP) and conversational AI, including chatbot development and voice/chat automation.

$115,000 - $135,000 a year
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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