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Langgraph Jobs in Chicago, IL (NOW HIRING)

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

LangChain / LangGraph / LlamaIndex * Intent Classification * Agentic Extraction & Multi-Step Orchestration * Function Calling & Tool Use * Prompt Engineering * Structured LLM Output * JSON Schema ...

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

LangGraph/Semantic Kernel/OpenAI Agents SDK or similar; CI/CD; AIOps/MLOps; LLM/RAG/agent evaluation; AI observability, tracing, monitoring, production debugging; reusable accelerators/templates ...

Synch-Solutions

AI Consultant

Chicago, IL · On-site +1

Architect and implement innovative AI solutions, leveraging frameworks like LangChain and LangGraph to create scalable, efficient, and impactful systems. • Cloud Deployment: Build, test, and deploy ...

US Bank

Lead AI Platform Engineer

Chicago, IL · On-site

$105K - $139K/yr

Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service * Evaluate emerging tools and frameworks to continuously improve solution ...

GState Consulting LLC

AI Architect

Chicago, IL · On-site

$65 - $85.50/hr

LangChain / LangGraph / Semantic Kernel / LlamaIndex * Python * REST APIs * Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB) * Docker & Kubernetes * AWS / Azure / Google Cloud Platform * Git ...

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Langgraph information

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What are popular job titles related to Langgraph jobs in Chicago, IL?

For Langgraph jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in Chicago, IL look for?

The top searched job categories for Langgraph jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Langgraph jobs?

Cities near Chicago, IL with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Chicago, IL as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 70% In-person, 4% Hybrid, and 26% Remote job distribution.

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

Zodiac Solutions

Schaumburg, IL • On-site

$59 - $76.50/hr

Contractor

Re-posted 24 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