Job Description
- 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
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