CNO AI/ML Engineer

• 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

• 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.

Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

• The pay range for this position is: $175,000 - $225,000