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Dark Wolf Solutions

AI Software Engineer - SME

Chantilly/Herndon, VA$185k–$240kfull-timemidAdded today

About this role

Dark Wolf seeks an AI Software Engineer SME with 15+ years of experience to architect and lead enterprise-scale AI/ML systems for defense and intelligence clients. You'll serve as the principal technical authority on novel AI frameworks and LLMs, design multi-cloud and air-gapped infrastructure, and advise government leadership on high-impact AI strategies.

What you'll do

  • Architect and execute end-to-end enterprise AI software systems at scale
  • Lead technical strategy for novel AI frameworks, LLMs, and high-assurance ML capabilities
  • Define enterprise security standards and oversee security scanning tool integration
  • Design multi-cloud, hybrid, and air-gapped infrastructure solutions
  • Interface with executive and agency leadership to align engineering roadmaps with mission objectives
  • Drive enterprise MLOps governance and lifecycle management

What they're looking for

  • AI/ML frameworks and platform architecture
  • LLM deployment and fine-tuning in restricted environments
  • Python, C++, Go programming languages
  • Kubernetes and container orchestration
  • Multi-cloud and air-gapped architecture design
  • DevSecOps and security compliance leadership
  • Enterprise Agile transformation and scaling
  • Zero-trust security and high-assurance systems

Benefits

  • Work on high-impact defense and intelligence missions
  • Lead cutting-edge AI/ML initiatives with world-class engineering team
  • Strategic influence with government stakeholders
  • Competitive salary commensurate with expertise
  • Equal opportunity employer supporting diverse backgrounds
  • Direct W2 employment with full benefits
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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 architecting and deploying LLMs in air-gapped or restricted network environments.
  • How have you led enterprise MLOps governance and ML lifecycle management at scale?