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Dark Wolf Solutions

AI Software Engineer - Expert

Chantilly/Herndon, VA$165k–$200kfull-timemidAdded today

About this role

Dark Wolf seeks an expert-level AI Software Engineer to architect and lead high-throughput AI platforms for defense and intelligence applications. You'll optimize LLM models for resource-constrained, air-gapped environments, manage multi-cloud infrastructure, and mentor engineering teams while maintaining security and best practices.

What you'll do

  • Lead architectural design and implementation of enterprise AI applications and complex agent workflows
  • Optimize model inference speed, memory efficiency, and quantization for air-gapped deployments
  • Design and manage resilient multi-cloud container infrastructure using Infrastructure as Code tools
  • Establish security scanning frameworks and lead vulnerability remediation in production systems
  • Serve as technical lead driving Agile sprint execution, managing technical debt, and mentoring teams

What they're looking for

  • RAG architectures and multi-agent system design
  • Model quantization, distillation, and inference optimization
  • Python, C++, Go, and asynchronous programming
  • Kubernetes cluster management and service mesh integration
  • Terraform and multi-cloud systems architecture
  • DevSecOps security tools and compliance frameworks
  • MLOps pipeline automation and deployment lifecycle management
  • Technical leadership and Agile methodologies
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Dark Wolf Solutions

Dark Wolf Solutions builds DevSecOps platforms, integration systems, and data analytics solutions for defense and intelligence customers, with a focus on DoD and Space Force operations. The company is hiring DevOps engineers, full-stack software engineers, systems engineers, and data engineers to support cloud infrastructure, platform development, radar systems, and mission-critical defense applications.

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Likely interview questions

  • Describe your experience optimizing LLM inference for resource-constrained or air-gapped environments—what quantization and distillation techniques have you applied?
  • Walk us through a complex multi-agent AI system you architected; how did you handle orchestration and failure scenarios?