AI Systems Engineer

AI Systems Engineer

Hybrid – Alexandria, VA

Active or Eligible U.S. Security Clearance Required

About the Role

We’re looking for an AI Systems Engineer to support Public Sector initiatives by building secure, distributed, and high-performance AI systems. You’ll turn research models into production-ready solutions that run across cloud, edge, and constrained environments—optimizing everything from model performance to low-level GPU acceleration.

What You’ll Do

• Convert prototype models into scalable, robust AI systems.
• Optimize models using PyTorch, TensorFlow, or Hugging Face.
• Apply quantization, pruning, distillation, and hardware acceleration.
• Build LoRA / PEFT workflows and on-device inference pipelines.
• Develop RAG systems integrated with vector databases (FAISS, Milvus, Pinecone).
• Support multimodal (text / vision / audio) model deployments.
• Generate synthetic data using GANs or diffusion models.
• Write performance-critical code in C / C++ / Rust with GPU optimization.
• Engineer for distributed, edge, and offline environments.
• Collaborate with Infrastructure, MLOps, and Security teams.

What You Bring

Preferred