AI Engineer
Triunity Software
- Location
- Onsite (Chicago, IL)
- Compensation
- $100k - $110k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 1 week ago
About the Role
Triunity Software is seeking an AI Engineer to design, develop, and deploy machine learning models and AI-driven applications. The role involves collaborating with cross-functional teams to integrate intelligent solutions into existing software products and optimize model performance in production environments.
Skills
Python
Machine learning
Deep learning
TensorFlow
PyTorch
Scikit-learn
LLMs
Generative AI
Prompt engineering
AWS
Azure
GCP
MLOps
NLP
Computer vision
Data pipelines
Benefits
- Health insurance
Perks
- Performance bonus
Full job details
Benefits:
- Bonus based on performance
- Health insurance
- Training & development
About the Role:
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.
Responsibilities:
- 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
Requirements:
- 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