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# CNO AI/ML Engineer

- **Company:** GRVTY, LLC
- **Location:** Sterling, VA, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Data Architecture, Data Retrieval, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Performance Tuning, Systems Integration, Reinforcement Learning, Cloud Platform System, Large Language Models, Deep Learning, Model Validation, Generative AI, Scikit Learn, Restful APIs, Automation Anywhere, Api Management, Docker
- **Published:** September 25, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9191890/cno-aiml-engineer

## About the Role

* Active TS/SCI with ability to obtain a Polygraph Clearance
 * Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
 * Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments
 * Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements
 * Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows
 * Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations

What Would be Nice to Have

 * Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
 * Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
 * Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
 * Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
 * Experience designing and integrating REST APIs and scalable data architectures.

## Description

* Implementing and maintaining RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly
 * Integrating LLMs into applications using available APIs and frameworks
 * Developing and maintaining REST API interactions to support data retrieval and system integration
 * Deploying and maintaining self-hosted LLMs
 * Red teaming of LLM alignment


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