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# Senior AI Engineer

- **Company:** Kelly Services Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Design Patterns, Python (Programming Language), Machine Learning, Recommender Systems, OpenAI, Software Deployment, Software Engineering, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Containerization, AI Platforms, Machine Learning Operations, Restful APIs, Semantic Kernel, Docker, Databricks, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.chicagocareersite.com/job.asp?id=3467256425&tx=FJ7572FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 5+ years of software engineering, machine learning, or AI engineering experience
 * 2+ years building and deploying Generative AI solutions in production
 * Strong experience with Python development
 * Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Llama, etc.)
 * Experience implementing Retrieval Augmented Generation (RAG) architectures
 * Knowledge of prompt engineering and AI application design patterns
 * Experience deploying applications within Azure, AWS, or GCP environments
 * Strong understanding of REST APIs, microservices, and scalable system design
 * Strong communication skills and ability to translate business requirements into AI solutions

Desired Skills & Experience

 * Azure AI Foundry, Azure OpenAI, or Microsoft AI ecosystem experience
 * Experience fine-tuning or optimizing foundation models
 * LangChain, LangGraph, Semantic Kernel, or similar AI frameworks
 * Experience with ML Ops practices and model lifecycle management
 * Knowledge of NLP, recommendation engines, or predictive analytics
 * Experience developing AI agents and multi-agent workflows
 * Experience with Databricks and machine learning platforms
 * Containerization experience with Docker and Kubernetes