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# AI Engineer

- **Company:** Triunity Software
- **Location:** Chicago, IL, United States
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Scikit Learn, Information Technology, Data Management, Machine Learning Operations, Virtual Agents
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-chicago-il--a40016f4-e707-4219-a45a-1fc60132b014

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
 * Proven experience building and deploying machine learning or deep learning models
 * Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn
 * Experience with LLMs, generative AI, or prompt engineering is a strong plus
 * Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
 * Strong analytical and problem-solving skills with attention to detail
 * Excellent communication skills and ability to work collaboratively in a team environment

## Description

Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Chicago, IL. This is an exciting opportunity to work at the cutting edge of artificial intelligence and software development, building intelligent solutions that make a real impact. If you're passionate about AI and want to shape the future of technology, we want to hear from you., * Design, develop, and deploy machine learning models and AI-driven applications

 * Collaborate with cross-functional teams to integrate AI solutions into existing software products
 * Research and evaluate emerging AI/ML frameworks, tools, and methodologies
 * Build and maintain data pipelines to support model training and inference
 * Monitor, test, and optimize model performance in production environments
 * Develop NLP, computer vision, or generative AI solutions based on business needs
 * Document technical processes, architectures, and model behavior for stakeholders