About this role
GRVTY is building advanced AI and national security capabilities to help customers solve entrenched challenges across defense and technology. The engineering team focuses on deploying sophisticated language models, building retrieval systems, and tackling complex national security problems that require deep technical ingenuity.
As an AI/ML Engineer, this practitioner will design, implement, and maintain retrieval-augmented generation pipelines alongside large language model integrations. Responsibilities also include deploying self-hosted models, writing REST APIs, and conducting red teaming for alignment.
Ideal candidates bring strong Python abilities, experience with modern machine learning frameworks, and an active TS/SCI clearance. Engineers who thrive in independent research environments and adapt quickly to shifting mission requirements will find a strong operational fit here.
What you will do
- Build and maintain retrieval-augmented generation pipelines encompassing document processing, embedding generation, retrieval configuration, and prompt assembly.
- Integrate large language models into applications utilizing available application programming interfaces and frameworks.
- Develop and maintain REST application programming interface interactions to facilitate data retrieval and system integration.
- Deploy and maintain self-hosted large language models.
- Perform red teaming of model alignment to ensure robust system behavior.
What you need
- Hold an active TS/SCI clearance with the ability to obtain a Polygraph Clearance.
- Possess at least 8 years of experience with a Bachelor’s degree, 7 years with a Masters degree, or 6 years with a Doctorate.
- Demonstrate the ability to conduct independent technical research, evaluate emerging artificial intelligence approaches, and apply advanced analytical problem-solving skills.
- Adapt rapidly to learn and apply new methodologies, tools, and frameworks supporting evolving mission needs.
- Show prior experience developing applications focused on retrieval-augmented generation, semantic retrieval, or related workflows.
- Demonstrate strong proficiency in Python alongside modern machine learning libraries, frameworks, and integrations.
Nice to have
- Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, or computer vision.
- Experience publishing research, contributing to open-source initiatives, or leading experimental and prototype development.
- Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and observability tools.
- Experience utilizing vector databases, cloud environments, Docker, and containerized development workflows.
- Experience designing and integrating REST application programming interfaces and scalable data architectures.
Benefits
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
Skills and tech stack
Questions candidates ask
What is the salary range for this position?
The pay range for this position is $175,000 to $225,000 USD. Compensation is influenced by factors such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
What clearance is required to apply?
Candidates must hold an active TS/SCI clearance with the ability to obtain a Polygraph Clearance.
What kind of benefits are included?
The benefits package includes a robust health plan covering medical, dental, and vision, a Health Savings Account with company contribution, annual paid time off, paid holidays, paid parental leave, and a 401k with a generous company match.