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Chat Based Jobs in Chicago, IL (NOW HIRING)

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$24.2K

$61.3K

$89.1K

How much do chat based jobs pay per year?

As of Aug 21, 2026, the average yearly pay for chat based in Chicago, IL is $61,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $88,600.00 per year, depending on experience, location, and employer.

What is a chat based job?

Chat-based jobs involve providing customer support, technical help, or sales assistance through online chat platforms rather than phone or in-person communication. Employees in these roles interact with customers in real-time using text-based chat systems to answer questions, resolve issues, and provide information about products or services. These positions are commonly found in industries such as e-commerce, technology, and telecommunications, and often offer remote or flexible work options. Strong written communication skills and the ability to multitask are essential for success in chat-based jobs.

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

To thrive as a Chat Support Representative, you need excellent written communication skills, strong problem-solving abilities, and a high school diploma or equivalent. Familiarity with customer support platforms like Zendesk, LiveChat, or Intercom is typically expected. Patience, empathy, and the ability to multitask help representatives build rapport with customers and handle multiple conversations efficiently. These skills ensure customer satisfaction, quick resolution of issues, and a positive brand experience.

What are some common challenges faced by chat based customer support representatives, and how can they be managed?

Chat-based customer support representatives often handle multiple conversations simultaneously, which can be challenging when trying to maintain accuracy and empathy in responses. Managing time effectively, using pre-approved scripts, and leveraging chat management tools can help address these challenges. Additionally, it's important to stay updated on product knowledge and company policies to answer queries efficiently. Regular communication with team members and supervisors also helps ensure consistent service quality and provides support when complex issues arise.

How do you become a chat based agent?

To become a chat-based agent, typically you need strong communication skills, basic computer literacy, and the ability to handle customer inquiries via chat platforms. Some employers may require prior customer service experience or familiarity with specific tools like live chat software. Training is often provided, and a reliable internet connection is essential for remote roles.

What are popular job titles related to Chat Based jobs in Chicago, IL?

For Chat Based jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Chat Based jobs in Chicago, IL look for?

The top searched job categories for Chat Based jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Chat Based jobs?

Cities near Chicago, IL with the most Chat Based job openings:

Chat Based jobs near you
Infographic showing various Chat Based job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $61,293 per year, or $29.5 per hour.

AI Engineer - LangGraph, Dialogflow, and Google Cloud - Schaumburg, IL - Contract opportunity

Zodiac Solutions

Schaumburg, IL • On-site

$59 - $76.50/hr

Contractor

Re-posted 2 days ago

Job description

Job Title: AI Engineer – LangGraph, Dialogflow, and Google Cloud

Location:  Schaumburg, IL - hybrid 3 days a week

Duration: 6 Months contract to hire

( preferably local candidates only )

We are seeking a highly skilled AI Engineer to design, develop, and deploy intelligent conversational and workflow automation systems using LangGraph, Google Dialogflow, and Google Cloud Platform (GCP). The ideal candidate will have strong experience building AI-driven solutions that integrate natural language understanding, context management, and multi-step logic orchestration.

You’ll collaborate closely with product managers, developers, and data teams to deliver scalable, efficient, and intuitive AI experiences through Google Chat and related platforms.

Key Responsibilities

  • Design, implement, and optimize conversational AI agents using LangGraph for workflow logic and Dialogflow (CX/ES) for dialogue management.
  • Integrate AI workflows with Google Chat to support automated conversations, task execution, and real-time user interaction.
  • Develop and maintain backend integrations with APIs, databases, and Google Cloud services such as Cloud Functions, Vertex AI, Pub/Sub, and Firestore.
  • Collaborate with cross-functional teams to define, test, and deploy new AI-driven features and improve existing dialogue flows.
  • Optimize system performance and scalability using GCP services and best practices in AI and cloud architecture.
  • Monitor and continuously improve AI accuracy through data-driven evaluation, logging, and fine-tuning of models and conversation paths.
  • Stay updated with the latest in conversational AI frameworks, Google Cloud tools, and LLM-based orchestration (LangChain, LangGraph, etc.).

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
  • 8+ years of experience as an AI Engineer, Conversational AI Developer, or similar role.
  • Hands-on experience with LangGraph (or LangChain) for building LLM-powered flow orchestration.
  • Proven experience developing bots on Google Chat, Dialogflow CX/ES, and integrating workflows using Google Cloud Functions or REST APIs.
  • Solid understanding of Google Cloud Platform (GCP) components such as Vertex AI, BigQuery, Cloud Run, IAM, and API Gateway.
  • Strong coding skills in Python or Node.js, with experience in building and deploying AI or ML applications.
  • Familiarity with prompt engineering, LLM lifecycle management, and embedding/vector store integration.

Preferred Qualifications

  • Experience using Vertex AI Agent Builder or other Google Cloud AI tools.
  • Knowledge of LangGraph and flow-based orchestration for coordinating multiple AI tools and APIs.
  • Strong understanding of conversational design principles and UX for chat-based applications.
  • Exposure to LLMs (like Gemini, GPT, or Claude) and designing multi-turn interactive agents.
  • Google Cloud certification (e.g., Professional Cloud Developer, Machine Learning Engineer) is a plus.

Soft Skills

  • Excellent problem-solving and debugging abilities.
  • Strong communication and teamwork skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Curiosity and enthusiasm for AI research and applied innovation.
 
Thanks,
sanjay kumar
sanjay.kumar@zodiac-solutions.com
linkedin.com/in/sanjay-kumar-sann-841825172