AI Software Engineer - Expert
Quick Summary
Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph. Education: Bachelor's degree in Computer Science, Information Systems, Engineering,
Responsibilities
~1 min read- →Lead the architectural execution and implementation of enterprise AI applications and complex agent workflows.
- →Optimize model inference speed, memory efficiency, and quantization techniques for air-gapped deployments.
- →Design resilient multi-cloud container infrastructure using Infrastructure as Code (IaC) tooling.
- →Establish security scanning frameworks and lead vulnerability remediation efforts across production systems.
- →Serve as a technical lead, driving Agile sprint deliverables, managing technical debt, and mentoring engineering teams.
Requirements
~1 min read- Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
- Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
- Experience: 7-10+ years of software engineering and systems architecture experience, with demonstrated leadership.
- Advanced Certifications: AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Certified Kubernetes Administrator (CKA).
- Proven track record deploying complex AI models in classified, air-gapped intelligence networks.
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
- AI Frameworks: Advanced knowledge of RAG architectures, framework customization, and orchestration strategies.
- AI Models: Expertise in model quantization, distillation, and custom multi-agent system design.
- Machine Learning: Extensive experience with MLOps pipeline automation, model inference optimization, and deployment lifecycle.
- Programming & Scripting: High-level mastery of Python, C++, Go, and asynchronous programming design.
- Containerization: Deep experience with Kubernetes cluster management, service mesh integration, and orchestration.
- Agile Frameworks: Proven experience acting as a Technical Pod Lead or Scrum Master driving development execution.
- Multi-Cloud Architecture: Multi-cloud systems architecture experience using Terraform and cloud-native frameworks.
- Security Scanning Tooling: Expert knowledge of DevSecOps security integrations, compliance checks, and remediation strategies.
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Location & Eligibility
Listing Details
- Posted
- August 18, 2026
- First seen
- August 18, 2026
- Last seen
- August 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- August 18, 2026
Signal breakdown
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