Job Description:
• 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