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

• 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

• 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.

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

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.

Virginia Pay Range

$175,000—$225,000 USD

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