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Chat Agent Jobs in Washington (NOW HIRING)

Sr. Machine Learning Engineer

Washington, DC · On-site

$118K - $162K/yr

This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure. You will ...

Fulltime Senior Call Center Agent Window Nation is searching for a Fulltime Senior Call Center ... Outbound, SMS, Chat, Inbound, Canvass, Live Sets, Sales Support, etc. * Assist with the ...

New

Contact Center Agent

Annapolis, MD · On-site

$16 - $21.75/hr

Contact Center Agent At Immersion Consulting, we're driven by a simple mission: deliver meaningful ... Supports inquiries via phone, IVR-assisted calls, email, chat, and other communication channels.

Customer Service Agent

Washington, DC · On-site

$17.50 - $23.50/hr

Customer Service Agent We are seeking a dedicated and enthusiastic Customer Service Agent to join ... Respond promptly and professionally to customer inquiries via phone, email, or chat. * Resolve ...

New

Respond promptly and professionally to customer inquiries via phone, email, or chat. * Resolve ... Proven experience as a Customer Service Agent or similar role. * Excellent verbal and written ...

New

Contact Center Agent

Annapolis, MD · On-site

$16 - $21.75/hr

The Contact Center Agent role is key to ensuring exceptional service for millions of customers, and ... Supports inquiries via phone, IVR-assisted calls, email, chat, and other communication channels.

Contact Center Agent

Beltsville, MD · On-site

$16.50 - $22.25/hr

Pella Mid-Atlantic Contact Center Agent Pella Mid-Atlantic is the area's leading distributor of ... Interact with customer online inquiries via web chat function. * Complete Daily Data Entry for ...

Support Agent

Columbia, MD · On-site

$50K - $55K/yr

Position Overview The Support Agent serves as the first point of contact for Leap customers ... Provide timely, professional, and accurate responses to clients via phone, email, and chat.

Window Nation is searching for a Fulltime Senior Call Center Agent to ensure the best quality ... Outbound, SMS, Chat, Inbound, Canvass, Live Sets, Sales Support, etc. * Assist with the ...

Contact Center Agent

Beltsville, MD · On-site

$16.50 - $22.25/hr

The Contact Center Agent will be the first touch point for Pella Mid-Atlantic customers offering a ... Interact with customer online inquiries via web chat function. * Complete Daily Data Entry for ...

Contact Center Agent

Beltsville, MD · On-site

$16.50 - $22.25/hr

The Contact Center Agent will be the first touch point for Pella Mid-Atlantic customers offering a ... Interact with customer online inquiries via web chat function. * Complete Daily Data Entry for ...

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 ...

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 ...

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Showing results 1-20

Chat Agent information

See Washington salary details

$5

$19

$28

How much do chat agent jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for chat agent in Washington is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

How does a chat agent typically collaborate with other departments to resolve customer inquiries?

Chat Agents often act as the first point of contact for customers, but resolving certain inquiries may require close collaboration with other departments, such as technical support, billing, or sales. It's common for Chat Agents to escalate complex issues or coordinate with subject matter experts to ensure customers receive accurate and timely solutions. Effective communication and documentation are key, as agents must relay customer concerns clearly and follow up on the status of escalated cases. This collaborative environment helps build a supportive team culture and ensures high-quality customer service.

What is a chat agent?

Chat Agents are customer service professionals who assist customers through online chat platforms. They handle inquiries, provide information about products or services, troubleshoot issues, and resolve customer concerns in real time. Chat Agents typically work for businesses in industries like e-commerce, technology, and telecommunications. Their main goal is to ensure customer satisfaction by delivering quick and accurate responses through text-based communication.

What is the difference between Chat Agent vs Customer Service Representative?

AspectChat AgentCustomer Service Representative
CredentialsHigh school diploma or equivalent; training in chat softwareHigh school diploma or equivalent; training in customer service skills
Work EnvironmentOnline, remote or call center settings, primarily via chat platformsCall centers, retail stores, or office settings, via phone or in person
Industry UsageCommon in e-commerce, tech support, and online services

Chat Agents primarily handle customer inquiries through online chat platforms, focusing on quick, written communication. Customer Service Representatives may work via phone, in person, or chat, providing broader support. While both roles require strong communication skills, Chat Agents specialize in digital, text-based interactions, often in online environments, whereas Customer Service Reps may handle a wider range of customer issues across multiple channels.

What are the key skills and qualifications needed to thrive as a chat agent?

To thrive as a Chat Agent, you need excellent written communication skills, strong problem-solving abilities, and a high school diploma or equivalent. Familiarity with customer relationship management (CRM) platforms, live chat software, and typing proficiency are typically required. Patience, active listening, and adaptability help build rapport and efficiently address diverse customer concerns. These skills are crucial for delivering prompt, accurate, and positive customer experiences in a digital environment.

Are chat agent jobs legit?

Chat agent jobs are legitimate roles that involve providing customer support through online messaging platforms. They often require good communication skills, familiarity with chat software, and sometimes specific training or certifications. As with any job opportunity, it is important to verify the employer's credibility to avoid scams.

What does a chat agent do?

A chat agent works with customers to answer questions and provide real-time support for their concerns. In this career, you may work strictly with sales or troubleshoot technical issues. Your responsibilities include responding quickly through live chat and providing courteous and professional customer service. Your duties also typically involve email communication for following up with help tickets. You often train users on the correct use of a product or help them do minor repairs on their own. As a chat agent, you usually work in an office or call center with other team members.

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

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

What cities in Washington are hiring for Chat Agent jobs?

Cities in Washington with the most Chat Agent job openings:

Infographic showing various Chat Agent job openings in Washington as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $40,393 per year, or $19.4 per hour.

Sr. Machine Learning Engineer

AppFolio

Washington, DC • On-site

$118K - $162K/yr

Full-time

Re-posted 8 days ago


AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 244 rated software companies


Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site. 
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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