AI Engineer
Triunity Software
- Location
- Onsite (DC, WA)
- Compensation
- $100k - $110k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 5 days ago
About the Role
Triunity Software is seeking an AI Engineer to design, deploy, and improve production AI and machine learning models. The role involves building data pipelines, APIs, and integrating NLP, computer vision, and generative AI techniques to solve business challenges.
Skills
Machine Learning
Artificial Intelligence
Python
TensorFlow
PyTorch
Scikit-Learn
Large Language Models
Generative AI
Prompt Engineering
Cloud Platforms
MLOps
Data Pipelines
Natural Language Processing
Computer Vision
API Development
Software Engineering
Benefits
- Health Insurance
- Training And Development
Perks
- Performance-Based Bonus
Full job details
Benefits:
- Bonus based on performance
- Health insurance
- Training & development
About the Role:
Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in DC, WA. This is an exciting opportunity to work at the cutting edge of artificial intelligence and software development, building innovative solutions that make a real impact. If you thrive in a fast-paced tech environment and love turning complex problems into intelligent systems, we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning and AI models into production environments
- Collaborate with cross-functional teams to identify AI-driven solutions for business challenges
- Build and maintain data pipelines to support model training, evaluation, and inference
- Research and implement state-of-the-art NLP, computer vision, or generative AI techniques
- Monitor, evaluate, and continuously improve model performance and accuracy
- Develop APIs and integrations to embed AI capabilities into existing software platforms
- Document technical processes, architectures, and model methodologies
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Proven experience building and deploying ML/AI models in production
- Proficiency in Python and AI/ML frameworks 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 understanding of data structures, algorithms, and software engineering principles
- Excellent problem-solving skills and ability to communicate complex concepts clearly