What Impact You'll Have GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities.

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported.

The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.

The work space itself is also quite nice, and there is an excellent cafeteria! Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer). What You'll be Owning GRVTY is seeking an experienced AI/ML Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.

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 Willingness to work onsite full time; 40 hours, 5 days a week (Monday - Friday), and covering at a minimum the Sponsor's core office hours of 10AM-2PM 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.

Compensation

is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.