🛠 Tech Stack

💼 About This Role

You'll operationalize advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a modern Hub-and-Spoke architecture to accelerate enterprise AI adoption. This role offers the chance to drive mission-critical applications for the US federal government.

🎯 What You'll Do

• Design, develop, and operationalize AI systems for production mission environments
• Implement and optimize AI/ML production engineering workflows including LLMOps and MLOps
• Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
• Manage Kubernetes-based AI deployments and integrate with OpenAI-compatible APIs

📋 Requirements

• Experience in AI/ML production engineering, LLMOps or MLOps
• Experience with Kubernetes-based AI deployments and OpenAI-compatible APIs
• Python development experience
• Experience in GPU inference optimization and NVIDIA GPU ecosystems

✨ Nice to Have

• Exposure to LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
• Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms

🎁 Benefits & Perks

• 🏖️ Paid time off
• 🏥 Health insurance
• 💰 Performance bonus
• 📚 Training and certifications
• 🏢 Onsite work in Arlington, VA

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1-2 weeks
2. 2Technical Interview· 1 hour
3. 3Hiring Decision· 1-2 weeks