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AI Engineer role

Quinnox IncChicago, IL🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationChicago, IL, United States
FirestoreAPI GatewayBigQueryGPTGoogle CloudLLMPythonRESTNode.jsMachine LearningPrompt EngineeringLangChainLangGraphIAM

Job description

Job Title: AI lead – LangGraph, Dialogflow, and Google Cloud

Department: Artificial Intelligence / Engineering

About the Role

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 (Google Cloud Platform). 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 Google Cloud Platform 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 (Google Cloud Platform) 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

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