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Chatbot Developer Jobs in Houston, TX (NOW HIRING)

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

... chatbot platforms. Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT ... DevOps, Observability Difference from the AI Architect Lead Role AI Architect Lead (10+ years)

New

itD Tech

Content Strategist III (6204)

Texas City, TX

Triage and escalate issues related to engineering systems, retrieval mechanisms, response generation, or platform functionality with clear documentation. * Test and validate chatbot performance after ...

New

SDH Systems

AI Lead 11+ years of exp

Houston, TX

$133K - $164K/yr

AI Developer Location: Onsite Houston,TX Interview Process: Video (2 Rounds) Experience: 12+ Years ... Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.

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 ...

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

INSPYR Solutions

Agentic AI Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... engineering delivery. This is not simply a chatbot platform. It is a rapidly evolving enterprise AI platform that integrates organizational knowledge, tools, retrieval systems, orchestration ...

INSPYR Solutions

Agentic AI Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

... engineering delivery. This is not simply a chatbot platform. It is a rapidly evolving enterprise AI platform that integrates organizational knowledge, tools, retrieval systems, orchestration ...

All JobsChatbot Developer JobsChatbot Developer Jobs in Houston, TX

Chatbot Developer information

See Houston, TX salary details

$71.1K

$89.5K

$120.8K

How much do chatbot developer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for chatbot developer in Houston, TX is $89,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $90,700.00 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
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What cities near Houston, TX are hiring for Chatbot Developer jobs? Cities near Houston, TX with the most Chatbot Developer job openings:
Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Houston, TX as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $89,528 per year, or $43 per hour.

AI Engineer Developer

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Posted 2 days ago

Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Engineer Developer to join our growing team.
Role: AI Engineer Developer
Location: Houston TX or US Remote
Duration: 6-12 months
Skills: AI and Automation~AI Agents
Experience Required: 6-8 Years
Role Descriptions:
Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications.
Strong API integration skills including REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs.
Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
Experience integrating with ticketing and workflow tools such as Jira, Zendesk, ServiceNow, Confluence, or similar systems.
Experience with orchestration frameworks, workflow engines, agent runtimes, or stateful task execution.
Hands-on experience building GenAI applications, AI agents, RAG workflows, tool-calling systems, or chatbot platforms.
Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies.
Understanding of MCP concepts, tool registries, connector libraries, skill version management, and secure tool invocation.
Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails.
Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, secrets management, and enterprise governance requirements.
Ability to build secure, auditable, and reliable operational tooling for enterprise users.
Familiarity with logging, monitoring, tracing, metrics, dashboards, retries, error handling, operational observability, and incident troubleshooting.
Good knowledge of automated testing, CI/CD pipelines, deployment practices, release management, rollback strategies, and operational support processes.
Strong understanding of secure coding practices, data privacy, access controls, and enterprise governance standards.
Key Technical Skills:
Python, TypeScript, Node.js, Java, Go
AI Agents & GenAI Applications
RAG (Retrieval-Augmented Generation)
LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
REST, GraphQL, Webhooks
Workflow Orchestration & Agent Runtimes
MCP (Model Context Protocol)
Function Calling & Structured Outputs
Prompt Engineering
Slack Apps/Bots Integration
Jira, Zendesk, ServiceNow, Confluence
IAM (Okta, SSO, RBAC, ABAC)
CI/CD, DevOps, Observability
Difference from the AI Architect Lead Role
AI Architect Lead (10+ years): Architecture, governance, platform strategy, leadership, enterprise AI solution design.
AI Engineer Developer (68 years): Hands-on development, integrations, AI agent implementation, workflow automation, and GenAI application development.

This is a remote position.