1

Ai Chatbot Developer Jobs in Illinois (NOW HIRING)

Lead end-to-end delivery of an AI-powered customer service chatbot implementation * Drive roadmap ... Collaborate with internal developers, Solution Architects, and Business Analysts throughout the ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ... chatbot platform utilized by both internal and external stakeholders. You'll enjoy the flexibility ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ... chatbot platform utilized by both internal and external stakeholders. You'll enjoy the flexibility ...

Experience with Azure DevOps * Mobile development experience using a cross-platform framework such ... AI Chatbot, HoloLens, IoT Note: Successful applicants for domestic positions that require travel to ...

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI ... Pioneer AI innovation through hands-on engineering - Experiment with cutting-edge foundation models ...

Experience with Azure DevOps * Mobile development experience using a cross-platform framework such ... AI Chatbot, HoloLens, IoT Note: Successful applicants for domestic positions that require travel to ...

Sr. Software Engineer

Oak Brook, IL · On-site

$80 - $110/hr

Experience with Azure DevOps * Mobile development experience using a cross-platform framework such ... AI Chatbot, HoloLens, IoT Note: Successful applicants for domestic positions that require travel to ...

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI ... Pioneer AI innovation through hands-on engineering - Experiment with cutting-edge foundation models ...

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI ... Pioneer AI innovation through hands-on engineering - Experiment with cutting-edge foundation models ...

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI ... Pioneer AI innovation through hands-on engineering - Experiment with cutting-edge foundation models ...

Founding Staff AI Engineer

Chicago, IL · On-site

$150K - $250K/yr

... and DevOps/MLOps best practices * Ability to design secure, compliant systems in regulated ... Experience architecting agentic workflows and AI-native products that go beyond simple chatbot ...

GenAI / NLP Engineer

Chicago, IL · On-site

$96.43 - $151.54/hr

The successful candidate will contribute to building a supervisory chatbot and specialized AI ... Cloud Engineering, and Security teams.Required Skills & ExperienceMust-Haves • Experience ...

next page

Showing results 1-20

Ai Chatbot Developer information

See Illinois salary details

$72.2K

$90.8K

$122.6K

How much do ai chatbot developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai chatbot developer in Illinois is $90,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $92,100.00 per year, depending on experience, location, and employer.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

What are the key skills and qualifications needed to thrive as an AI Chatbot Developer?

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

What cities in Illinois are hiring for Ai Chatbot Developer jobs?

Cities in Illinois with the most Ai Chatbot Developer job openings:

Infographic showing various Ai Chatbot Developer job openings in Illinois as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $90,846 per year, or $43.7 per hour.

Solution Architect ( Conversational AI)

Chicago, IL • On-site

1 point system
51 - 200 employees

$65 - $85.50/hr

Contractor

Re-posted 14 days ago


Job description

POSITION

Solution Architect ( Conversational AI)

LOCATION

Chicago, IL- Hybrid- LOCALS

DURATION

12+ Months

INTERVIEW TYPE

VISA RESTRICTIONS

NONE

REQUIRED SKILLS

Must Have:

  • Must have worked on at least one Conversational AI chatbot project
  • GenAI experience

Job Description

Solution Architect

  • Conversational AI / NLP Implementation:
    • Hands-on experience with NLP/NLU tools (e.g., Amazon Lex, Google Dialogflow, Rasa, Azure Bot Framework)
    • Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses
    • Designed and deployed chatbot solutions across web and mobile platforms
  • Cloud Architecture:
    • Strong preference for AWS expertise-especially Lex, Lambda, S3, API Gateway, DynamoDB
    • Familiar with cloud-native services, including compute, storage, and networking architecture
  • Integration & DevOps:
    • Experience designing APIs and integrating chatbot applications with backend services
    • Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (e.g., Terraform, CloudFormation)