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.
Youll 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
- Bachelors or Masters 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 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
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 workf...
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.
Youll 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
- Bachelors or Masters 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 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
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