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Dialogflow Jobs in Illinois (NOW HIRING)

UrBench

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

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 responsesa

Capgemini

Lead Data Scientist

Chicago, IL · On-site

$150K - $210K/yr

... Dialogflow CX • BigQuery • Pub/Sub • Cloud Run • Google Kubernetes Engine (GKE) • Cloud Functions Required Qualifications • 10+ years of software engineering, cloud architecture, or ...

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See Illinois salary details

$17

$57

$79

How much do dialogflow jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for dialogflow in Illinois is $57.86, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $73.83 per hour, depending on experience, location, and employer.

What is a Dialogflow job?

A Dialogflow job typically involves designing, building, and optimizing conversational AI solutions using Google Dialogflow. Responsibilities may include creating intelligent chatbots, integrating natural language processing (NLP) models, and improving user interactions. Professionals in this field often work as chatbot developers, AI engineers, or conversational UX designers. Strong knowledge of machine learning, APIs, and cloud platforms is beneficial for this role.

What are the key skills and qualifications needed to thrive in the Dialogflow position, and why are they important?

To succeed as a Dialogflow Developer or Specialist, you need expertise in conversational AI design, strong programming skills (especially in JavaScript or Python), and experience with Natural Language Processing (NLP) frameworks. Familiarity with Google Cloud Platform, Dialogflow CX/ES, API integration, and relevant certifications such as Google Cloud Dialogflow certification are highly valuable. Excellent problem-solving abilities, communication skills, and attention to user experience will set you apart. These competencies are crucial for delivering robust, user-friendly chatbot solutions that align with client requirements and business goals.

What are the typical responsibilities of a Dialogflow Developer in a workday?

A Dialogflow Developer typically spends their day designing, building, and maintaining conversational agents and chatbots using Dialogflow. This includes creating intents and entities, integrating APIs, testing natural language models, and collaborating with UX designers and other engineers to enhance conversation flows. You may also be tasked with troubleshooting user issues, analyzing performance metrics, and optimizing chatbot performance based on user feedback. The role often requires teamwork across product, development, and customer support departments to ensure seamless virtual assistant solutions that meet business objectives.

What are the most commonly searched types of Dialogflow jobs in Illinois? The most popular types of Dialogflow jobs in Illinois are:
What are popular job titles related to Dialogflow jobs in Illinois? For Dialogflow jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Dialogflow jobs in Illinois look for? The top searched job categories for Dialogflow jobs in Illinois are:
Dialogflow jobs near you
Infographic showing various Dialogflow job openings in Illinois as of July 2026, with employment types broken down into 67% Full Time, 2% Part Time, and 31% Contract. Highlights an 75% In-person, 4% Hybrid, and 21% Remote job distribution, with an average salary of $120,340 per year, or $57.9 per hour.
AI Engineer - LangGraph, Dialogflow, and Google Cloud - Schaumburg, IL - Contract opportunity

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

Zodiac Solutions

Schaumburg, IL • On-site

$59 - $76.50/hr

Contractor

Posted 6 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