AI Engineer Associate

Responsibilities

• Deploy, configure, and maintain machine learning models and large language models (LLMs) on GPU-enabled on-premises servers and cloud infrastructure, ensuring high availability and reliability for all team stakeholders.
• Design and implement secure, efficient data pipelines for AI systems within air-gapped and networked environments.
• Develop and integrate agentic AI pipelines leveraging open-source LLMs and on-premises GPU hardware.
• Contribute to in-person data collections at the Maryland Test Facility.
• Stay current with the rapidly evolving AI hardware and software landscape, identifying and recommending improvements to tooling, infrastructure, and deployment practices.
• Collaborate frequently with software, networking, data science, and cloud engineering teams to align AI infrastructure with existing laboratory infrastructure.
• Carry out these responsibilities under the guidance of the lead AI scientist.

Qualifications

• BS in computer science, machine learning, computer vision, biometrics or a related field.
• Strong programming skills in languages such as Python and version control systems such as Git.
• Hands-on experience deploying and configuring LLMs, including an understanding of prompt engineering techniques.
• Experience specifying and working with GPU hardware to meet the performance demands of AI workloads.
• Experience with AI frameworks like TensorFlow or PyTorch.
• Experience deploying and configuring LLMs and an understanding of prompt engineering.
• Excellent analytical, communication, and problem-solving skills with the ability to work effectively across multidisciplinary teams.

Desired

• Familiarity with biometric and identity systems, including face, iris, or fingerprint recognition technologies.
• Familiarity with RAG, Vector Stores, and Agentic AI.
• Familiarity with cloud platforms such as AWS, including managed AI and compute services (e.g., Amazon Bedrock).
• Exposure to secure or air-gapped deployment environments and associated data handling requirements.
• Awareness of current and emerging AI hardware options and a demonstrated habit of tracking developments in the field.
• Experience operating Agentic AI coding tools (e.g., Claude Code) in a safe, structured, and productive manner.

Pay

Target salary range $80,001 - $120,000.