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# AI Engineer

- **Company:** Triunity Software
- **Location:** Dallas, TX, United States
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Data Structures, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Software Engineering, Pytorch, Generative AI, Scikit Learn, Information Technology, Data Management, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-dallas-tx--058d59cc-2c67-4b56-917c-0bb22babd63f

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
 * Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
 * Strong programming skills in Python and/or other relevant languages
 * Experience with NLP, computer vision, or generative AI is a strong plus
 * Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
 * Solid understanding of data structures, algorithms, and statistical modeling
 * Strong problem-solving skills and ability to work independently or collaboratively

## Description

Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Dallas, TX. 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-powered 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
 * Document technical architectures, workflows, and AI system designs
 * Contribute to the full software development lifecycle (SDLC) with a focus on AI-driven features