ZipRecruiter

Log In

1

Conversational Ai Developer Jobs in Illinois (NOW HIRING)

Genesys

Principal Product Manager, AVA AI

Virginia, IL · Remote

Experience managing roadmaps with significant dependencies across product or engineering organizations * Strong knowledge of virtual agent platforms, conversational AI, customer experience technology ...

Pwc

Conversational AI and Agentic AI - Manager

Chicago, IL · On-site

$99K - $232K/yr

... a Conversational AI and Agentic AI - Manager, you will lead the charge in developing innovative ... engineering projects - Utilizing AngularJS frameworks to create dynamic and responsive user ...

KPMG

Manager, AI Engineer

Chicago, IL · On-site

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice ... Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered ...

next page

Showing results 1-20

All JobsConversational Ai Developer JobsConversational Ai Developer Jobs in Illinois

Conversational Ai Developer information

What is a conversational AI developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What are the key skills and qualifications needed to thrive as a conversational AI developer?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What are some common challenges conversational AI developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are popular job titles related to Conversational Ai Developer jobs in Illinois?

For Conversational Ai Developer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Developer jobs in Illinois look for?

The top searched job categories for Conversational Ai Developer jobs in Illinois are:

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

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

Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Illinois as of August 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Solution Architect ( Conversational AI)

Chicago, IL • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$65 - $85.50/hr

Contractor

Re-posted 19 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)