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Remote Chatbot Conversational Ai Jobs (NOW HIRING)

OVA.Work

Conversational AI Developer

... chatbot performance using conversation analytics, user feedback, and AI evaluation metrics. • Implement guardrails, content moderation, authentication, and security best practices for ...

SmartIPlace

AI Chatbot Developer[Remote]

Columbus, OH · Remote

Responsibilities include building conversational interfaces, integrating with natural language ... For AI Chatbots, this means creating a chatbot experience that is not only conversational but also ...

Redfish Recruiting

Chatbot Engineer

  • Medical

  • Dental

  • Vision

  • PTO

... in conversational AI and machine learning .- Optimize chatbot performance for speed and ... Fully Remote * Equity options * Health insurance * Dental insurance * Paid sick time * Paid time ...

JR Software Solutions, Inc.

AI/ML Engineer

Atlanta, GA · On-site +1

Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...

Twilio

Sr AI Architect - Conversational AI

$132K - $180K/yr

  • Medical

  • Retirement

  • PTO

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... See yourself at Twilio Join the team as Twilio's next Sr AI Architect - Conversation AI. About the ...

Jobgether

Conduct conversational AI, chatbot, prompt, performance, reliability, and scalability testing for ... Contract-based opportunity with a remote work model. * Opportunity to work on Salesforce and ...

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Remote Chatbot Conversational Ai information

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How much do remote chatbot conversational ai jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote chatbot conversational ai in the United States is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Chatbot Conversational Ai vs Remote Customer Support Agent?

AspectRemote Chatbot Conversational AiRemote Customer Support Agent
Required CredentialsKnowledge of AI, NLP, programming skillsCustomer service experience, communication skills
Work EnvironmentDeveloping and managing AI systems, often in tech companiesHandling customer inquiries via chat, email, or phone
Employer & Industry UsageTech, e-commerce, SaaS companiesRetail, telecom, service industries
Search & Comparison IntentUnderstanding AI roles, technical skillsCustomer service roles, communication skills

Remote Chatbot Conversational Ai focuses on developing and managing AI-driven chat systems, requiring technical skills like NLP and programming. In contrast, Remote Customer Support Agents handle direct customer interactions, emphasizing communication and problem-solving skills. Both roles are remote but serve different functions within customer engagement and technology development.

More about Remote Chatbot Conversational Ai jobs

What cities are hiring for Remote Chatbot Conversational Ai jobs?

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What are the most commonly searched types of Chatbot Conversational Ai jobs?

The most popular types of Chatbot Conversational Ai jobs are:

What states have the most Remote Chatbot Conversational Ai jobs?

States with the most job openings for Remote Chatbot Conversational Ai jobs include:

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Remote Chatbot Conversational Ai jobs near you
Infographic showing various Remote Chatbot Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $118,044 per year, or $56.8 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 8 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.