Senior Agentic AI DevOps Engineer
Core
Senior DevOps Engineer owning the end-to-end deployment, operation, and scaling of an Agentic AI platform for industrial operations software.
Role type
Senior hands-on IC DevOps Engineer (Agentic AI Platform)
Builds
Kubernetes-based infrastructure, CI/CD pipelines, and the LLM/agent-ops layer for agentic developers
Domain
Industrial operations software, Agentic AI, Cloud-native infrastructure
Deliverable
production ML models
Required skills
Kubernetes, Terraform, CI/CD, Linux administration, AWS, IAM/RBAC, LLM operations, prompt engineering, Agentic orchestration frameworks, Agent observability/eval tooling
Preferred skills
NVIDIA AI stack, multi-agent systems, enterprise AI governance, regulated industries experience, Mendix integration, Industrial/OT background, Enterprise integration
Technologies
Kubernetes, Terraform, AWS, NVIDIA NeMo/NIM/Triton, LangChain, LangGraph, LangSmith, Langfuse, OPC-UA, MQTT, Kafka, SAP
Responsibilities
Deploy, operate, and maintain the Agentic AI Developer Platform; Build and operate Kubernetes infrastructure with GPU scheduling; Design and operate CI/CD pipelines for agents and services; Own the LLM/agent-ops layer including prompt management and evaluation; Drive monitoring, tracing, and observability for agentic systems; Implement Infrastructure as Code for governed provisioning; Establish IAM, RBAC, and compliance across AI workloads; Optimize compute, storage, and inference costs; Ensure platform reliability, uptime, and scalability; Troubleshoot production issues and improve platform architecture; Collaborate with architects, product, data science, and security teams.
Seniority
Senior, hands-on IC