What are the responsibilities and job description for the AI Systems Engineer position at Stelvio Inc.?
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
- Active or eligible U.S. security clearance.
- 5 years in applied AI, ML engineering, or AI systems development.
- Strong experience with major ML frameworks and cloud/edge deployment.
- Expertise in model compression, GPU computing, and CUDA.
- Experience with RAG pipelines, vector databases, multimodal systems, and synthetic data.
- Strong C/C /Rust and systems-level programming skills.
- Solid algorithmic and distributed-systems problem-solving ability.
Preferred
- Experience with edge AI, federated learning, or offline inference.
- Familiarity with distributed training (DeepSpeed, Ray).
- Knowledge of public-sector AI governance and compliant architectures.
- Strong communication and documentation skills.
