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Live Chat Agent Jobs in Washington (NOW HIRING)

AppFolio

Sr. Machine Learning Engineer

Washington, DC · On-site

$118K - $162K/yr

We're transforming Property Management; how property managers operate, how residents live, and how ... This role helps define AppFolio's production voice and chat agent pipelines, working at the ...

Vylla Home

Real Estate Agent

Arlington, VA · Remote

$85K - $185K/yr

Customized training, live demos and more available 24/7 * Customizable agent websites, marketing ... Vylla Home does not do interviews or make offers via text or chat. Vylla is an equal opportunity ...

Vylla Home

Real Estate Agent

Arlington, VA · Remote

$85K - $185K/yr

Customized training, live demos and more available 24/7 * Customizable agent websites, marketing ... Vylla Home does not do interviews or make offers via text or chat. Vylla is an equal opportunity ...

Leidos

Senior AWS Amazon Connect Engineer

Alexandria, VA · On-site

$107K - $195K/yr

Amazon Connect voice and chat channels are deployed and stable. * Salesforce integration and live-agent transfer pathways operate seamlessly. * Security, monitoring, and operational readiness ...

Leidos

Senior AWS Amazon Connect Engineer

Washington, DC · Remote

$107K - $195K/yr

Amazon Connect voice and chat channels are deployed and stable. * Salesforce integration and live-agent transfer pathways operate seamlessly. * Security, monitoring, and operational readiness ...

Leidos

Senior AWS Amazon Connect Engineer

Waldorf, MD · On-site

$107K - $195K/yr

Amazon Connect voice and chat channels are deployed and stable. * Salesforce integration and live-agent transfer pathways operate seamlessly. * Security, monitoring, and operational readiness ...

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Live Chat Agent information

What is a live chat agent?

Live Chat Agents are customer service professionals who interact with customers in real-time through online chat platforms. Their main role is to assist customers by answering questions, resolving issues, and providing information about products or services. Live Chat Agents help businesses offer fast and convenient support, improving customer satisfaction and efficiency. They often work for e-commerce sites, tech companies, and service providers, handling multiple conversations simultaneously.

How do live chat agents typically handle high volumes of simultaneous customer inquiries?

Live Chat Agents often manage multiple chat conversations at once, which requires strong multitasking skills and the ability to prioritize urgent issues without sacrificing response quality. Many companies provide specialized chat platforms that help agents organize conversations, use canned responses, and quickly access knowledge bases. Agents are also trained to escalate complex issues to supervisors or other departments as needed, ensuring efficient and accurate resolutions. Regular team check-ins and support from team leads help agents adapt to busy periods and maintain customer satisfaction.

What are the key skills and qualifications needed to thrive as a live chat agent, and why are they important?

To thrive as a Live Chat Agent, you need excellent written communication skills, fast and accurate typing abilities, and a basic understanding of customer service principles, often supported by a high school diploma. Familiarity with live chat software, CRM systems, and ticketing tools is typically required. Strong problem-solving, patience, and multitasking skills help agents deliver positive customer experiences and resolve issues efficiently. These competencies are essential for providing timely, effective, and high-quality support in a digital customer service environment.

How much do live chat agents get paid?

Live chat agents typically earn an hourly wage ranging from $10 to $20, depending on experience, location, and the company. Some positions may also offer performance-based bonuses or flexible schedules, especially for remote roles.

How to become a live chat agent?

To become a live chat agent, candidates typically need a high school diploma or equivalent, strong communication skills, and familiarity with customer service software or chat platforms. Some employers prefer prior experience in customer support or sales, and basic computer proficiency is essential. Training is often provided by the employer to familiarize new agents with company-specific tools and procedures.

What are the most commonly searched types of Live Chat Agent jobs in Washington?

The most popular types of Live Chat Agent jobs in Washington are:

What are popular job titles related to Live Chat Agent jobs in Washington?

For Live Chat Agent jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Live Chat Agent jobs in Washington look for?

The top searched job categories for Live Chat Agent jobs in Washington are:

What cities in Washington are hiring for Live Chat Agent jobs?

Cities in Washington with the most Live Chat Agent job openings:

Live Chat Agent jobs near you
Infographic showing various Live Chat Agent job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 23% Part Time, 2% Temporary, and 7% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 16 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.