C
AI Engineer on Chicago
Confiar Services
3 hours ago
Full-time
On-site
Chicago, Illinois, United States
Location:
Edina, MN (Primary) / Chicago, IL
Job Summary We are urgently looking for highly skilled, hands-on AI Engineers with strong experience in LangChain, LangGraph, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Azure AI Foundry. The ideal candidates will have proven real-world project experience designing, developing, and implementing AI-powered applications and solutions.
Key Responsibilities
Design, develop, and implement AI-powered applications using LLMs.
Build and maintain AI workflows and agent-based solutions using LangChain and LangGraph.
Design and implement RAG architectures to enhance LLM responses using relevant enterprise data.
Develop, integrate, and deploy AI solutions using Azure AI Foundry.
Integrate LLMs with enterprise systems, APIs, vector databases, and external data sources.
Optimize AI applications for performance, scalability, reliability, and response accuracy.
Implement prompt engineering, context management, and retrieval optimization techniques.
Troubleshoot, test, and improve AI models and application workflows.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Mandatory Technical Skills
LangChain:
Strong hands-on experience developing LLM-powered applications.
LangGraph:
Experience building stateful, multi-step AI workflows and agentic applications.
Large Language Models (LLMs):
Experience with LLM integration, development, and implementation.
Retrieval-Augmented Generation (RAG):
Practical experience designing and implementing RAG pipelines.
Azure AI Foundry:
Hands-on experience building and deploying AI solutions using Azure AI Foundry.
Required Qualifications
Strong understanding of LLM-based application architecture and generative AI solutions.
Experience integrating AI components with APIs, data sources, and enterprise applications.
Ability to develop, test, debug, and optimize AI-powered solutions.
Strong analytical, problem-solving, and communication skills.
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Edina, MN (Primary) / Chicago, IL
Job Summary We are urgently looking for highly skilled, hands-on AI Engineers with strong experience in LangChain, LangGraph, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Azure AI Foundry. The ideal candidates will have proven real-world project experience designing, developing, and implementing AI-powered applications and solutions.
Key Responsibilities
Design, develop, and implement AI-powered applications using LLMs.
Build and maintain AI workflows and agent-based solutions using LangChain and LangGraph.
Design and implement RAG architectures to enhance LLM responses using relevant enterprise data.
Develop, integrate, and deploy AI solutions using Azure AI Foundry.
Integrate LLMs with enterprise systems, APIs, vector databases, and external data sources.
Optimize AI applications for performance, scalability, reliability, and response accuracy.
Implement prompt engineering, context management, and retrieval optimization techniques.
Troubleshoot, test, and improve AI models and application workflows.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Mandatory Technical Skills
LangChain:
Strong hands-on experience developing LLM-powered applications.
LangGraph:
Experience building stateful, multi-step AI workflows and agentic applications.
Large Language Models (LLMs):
Experience with LLM integration, development, and implementation.
Retrieval-Augmented Generation (RAG):
Practical experience designing and implementing RAG pipelines.
Azure AI Foundry:
Hands-on experience building and deploying AI solutions using Azure AI Foundry.
Required Qualifications
Strong understanding of LLM-based application architecture and generative AI solutions.
Experience integrating AI components with APIs, data sources, and enterprise applications.
Ability to develop, test, debug, and optimize AI-powered solutions.
Strong analytical, problem-solving, and communication skills.
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