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# Sr. AI Engineer

- **Company:** Insight Global
- **Location:** Naperville, IL, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Python (Programming Language), Machine Learning, Natural Language Processing, Software Engineering, Web Services, Enterprise Software Applications, Chatbots, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms
- **Published:** July 8, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/illinois/naperville/sr-ai-engineer/job-549061/

## About the Role

* 6-8+ years of software engineering or AI engineering experience
 * Strong expertise in Machine Learning and AI concepts
 * Experience with Large Language Models (LLMs)
 * Experience building RAG-based solutions
 * Experience developing Multi-Agent Systems
 * Strong understanding of NLP (Natural Language Processing)
 * Prompt Engineering experience
 * Experience exposing AI models/services through APIs
Strong Python development skills

Nice to Have Skills & Experience

 * Experience with Azure AI ecosystem
 * Experience with Agent Orchestration platforms
 * Experience with OpenAI, Anthropic, Claude, Copilot, or similar AI platforms
 * Experience deploying AI solutions in enterprise environments
 * Experience supporting conversational AI platforms
Familiarity with Manufacturing or Industrial Intelligence use cases

## Description

Seeking a Senior AI Engineer to design and implement advanced AI solutions for a Manufacturing platform. This individual will build production-ready AI systems, develop multi-agent architectures, and help operationalize AI capabilities that integrate into enterprise applications and conversational experiences.
Responsibilities

 * Develop and deploy AI/ML solutions in production environments
 * Build multi-agent systems and orchestration frameworks
 * Implement Retrieval-Augmented Generation (RAG) architectures
 * Design and optimize LLM-powered applications
 * Develop APIs and services that expose AI capabilities to downstream applications
 * Partner with Data Scientists and Software Engineers to deploy end-to-end solutions
 * Support prompt engineering and AI model optimization efforts


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