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# AI Engineer

- **Company:** Triunity Software
- **Location:** Washington, DC, United States
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Computer Vision, Microsoft Azure, Cloud Computing, Data Structures, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Scikit Learn, Information Technology, Data Management, Machine Learning Operations
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-washington-dc--112d72c2-1f2f-4227-a038-90a7ccb7d607

## About the Role

Artificial Intelligence (AI), Health Insurance, Training/Teaching, Software Development, Artificial Intelligence (AI), Machine Learning, Production Systems, Cross-Functional, Data Management, Natural Language Processing (NLP), * 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

## Description

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!, * 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