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Conversational Ai Developer Jobs in Chicago, IL (NOW HIRING)

Epsilon

AI Engineer - Enterprise Business Systems

Chicago, IL · On-site

$110K - $137K/yr

Develop conversational AI and Genie-style experiences integrated with curated datasets, metrics ... Generative AI & LLM Engineering * Contribute to the development of generative AI and LLM-based ...

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 ...

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All JobsConversational Ai Developer JobsConversational Ai Developer Jobs in Chicago, IL

Conversational Ai Developer information

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$16

$61

$77

How much do conversational ai developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for conversational ai developer in Chicago, IL is $61.83, according to ZipRecruiter salary data. Most workers in this role earn between $56.20 and $73.32 per hour, depending on experience, location, and employer.

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 Chicago, IL?

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

What job categories do people searching Conversational Ai Developer jobs in Chicago, IL look for?

The top searched job categories for Conversational Ai Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Conversational Ai Developer jobs?

Cities near Chicago, IL with the most Conversational Ai Developer job openings:

Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $128,607 per year, or $61.8 per hour.

Solution Architect ( Conversational AI)

1 point system

Chicago, IL • On-site

$65 - $85.50/hr

Contractor

Re-posted 10 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)