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Chatbot Job Jobs (NOW HIRING)

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Gen AI Specialist

Houston, TX

Looking to do innovation on some of the prototypes and chatbot technology. This person would be responsible for creating chatbot, security trimming, doing full POC full development, and ensuring this ...

Forhyre

Tech Lead - Conversational AI

New York, NY

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the quality, performance, and security of the chatbot applications. * Stay updated with the latest ...

Forhyre

Tech Lead - Conversational AI

Plano, TX

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the quality, performance, and security of the chatbot applications. * Stay updated with the latest ...

Forhyre

Tech Lead - Conversational AI

Mclean, VA

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the quality, performance, and security of the chatbot applications. * Stay updated with the latest ...

Forhyre

Tech Lead - Conversational AI

New York, NY

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the quality, performance, and security of the chatbot applications. * Stay updated with the latest ...

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Chatbot Job information

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$28

$55

$76

How much do chatbot job jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for chatbot job in the United States is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $63.46 per hour, depending on experience, location, and employer.

What is the difference between Chatbot Job vs Customer Service Representative?

AspectChatbot JobCustomer Service Representative
Required SkillsAI understanding, scripting, programmingCommunication, problem-solving, empathy
Work EnvironmentRemote, tech-focusedCall centers, retail, office settings
CertificationsBasic coding, AI coursesCustomer service training, communication skills
Industry UsageTech, e-commerce, SaaSRetail, telecom, hospitality

While both roles involve customer interaction, a Chatbot Job focuses on developing and maintaining AI-driven chatbots using technical skills, whereas a Customer Service Representative handles direct customer interactions through calls or in-person. The roles differ in required skills, work environment, and industry applications, but both aim to improve customer experience.

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What job categories do people searching Chatbot Job jobs look for?

The top searched job categories for Chatbot Job jobs are:

Chatbot Job jobs near you
Infographic showing various Chatbot Job job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $116,003 per year, or $55.8 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 5 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
 
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
 
Key Responsibilities
  • End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
  • Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
  • Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
  • Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
  • Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
  • NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
  • Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
  • Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
 
Technical & Professional Qualifications
Required Experience
  • 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
  • Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
  • Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
  • Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
 
Preferred Qualifications
  • Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
  • Analytics Driven: Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
  • Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
  • Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
  • Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
 
Benefits & Culture
  • Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
  • Impact-Driven Work: Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
  • Professional Growth: Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.