AI Developer/Engineer

About the role

AI Developer/Engineer (Skill Level: Subject Matter Expert) located in Chantilly, VA. The role involves cyber and SIGINT exploitation of large-scale networks and data to uncover unknown and emerging adversary capabilities, applying leading-edge principles, working on complex problems, providing innovative solutions, operating with substantial latitude, and mentoring/supervising employees.

Responsibilities

• Provide cyber and SIGINT exploitation of large-scale networks and the data riding on them to uncover unknown and emerging adversary capabilities.
• Apply leading-edge principles, theories, and concepts; contribute to the development of new principles and concepts.
• Work on unusually complex problems and provide highly innovative solutions.
• Operate with substantial latitude for unreviewed actions or decisions; mentor or supervise employees in technical competencies.

Requirements

• 7+ years' experience in software development or systems engineering, building, deploying, and maintaining enterprise-grade applications
• 5+ years' experience supporting offensive or defensive cyber operations
• Experience integrating AI and LLMs into existing legacy architectures, APIs, and enterprise systems
• Experience with containerization, orchestration, and cluster management platforms, including Docker and Kubernetes
• Knowledge of zero-trust architecture, secure API gateways, and data governance controls for AI/LLM deployments
• Knowledge of cloud infrastructure services, such as AWS, Azure, or GCP, optimized for AI/ML and distributed processing such as GPU instances, vCPUs, and high-speed networking fabrics
• Knowledge of network engineering, fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training
• Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers

Qualifications

• Experience with MLOps/LLMOps tools and CI/CD pipelines such as MLflow, Kubeflow, or GitLab CI
• Experience working with high-performance networking, software, and hardware
• Master's Degree in Computer Science, Artificial Intelligence or Systems Engineering
• Cloud Architecture or DevOps certifications