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Trainee Google Cloud Machine Learning Engineer Jobs in Illinois

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Socket.dev

Lead Machine Learning Engineer

Chicago, IL · On-site

$179 - $205/hr

Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ... Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay ...

New

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Whiztek Corp

Google Cloud Engineer

Schaumburg, IL · On-site

$55 - $73.50/hr

Google Cloud Platform Cloud Engineer Location: Chicago, IL (Hybrid) We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP) , Google ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

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Infographic showing various Trainee Google Cloud Machine Learning Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

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

Schaumburg, IL • On-site

Zodiac Solutions
Library and Information Services • 11 - 50 employees
Learn more about Zodiac Solutionsexternal

$59 - $76.50/hr

Contractor

Re-posted 10 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