Evaluate emerging agentic patterns (multi-agent coordination, tool use, human-in-the-loop oversight)
Implement them as working systems and build reusable automation and integration patterns
Create deployment automation for agentic services: reproducible environments and repeatable enterprise releases on Kubernetes
Debug and refine AI-driven workflows, ensuring work can be generalized
Research and apply nonhuman/workload identity patterns for agentic services and integrate into deployment automation

Requirements

Bachelor’s degree and 8+ years relevant experience (software engineering, applied R&D, platform/DevSecOps, AI/ML engineering, cyber engineering)
Proven hands-on delivery: prototypes that ran, tools others used, automation others depended on
Strong development skills; experience building LLM-enabled systems and/or multi-agent workflows
Practical experience with Kubernetes and modern deployment/IaC practices; Terraform, K8s familiarity
Must be a US Citizen with the ability to obtain and maintain a Secret clearance

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringapplied R&Dplatform DevSecOpsAI engineeringML engineeringcyber engineeringKubernetesTerraformdeployment automationmulti-agent workflows

Soft Skills

strong development skillshands-on deliveryproblem-solvingresearch skillsdebuggingrefinement of workflows

Certifications

Bachelor's degreeSecret clearance