Experteer Overview As LeadAI Platform Engineer, you will design and operate a scalable AI platform for deploying autonomous agents and managing model serving at production scale. You’ll build high-performance inference services on GPU/TPU clusters and enable autoscaling with Kubernetes and Knative. You’ll craft CI/CD and MLOps pipelines, define reliability metrics, and implement security controls to protect data and execution. You’ll empower internal teams and partners with developer-friendly tools and documentation, shaping a robust, secure AI foundation. This role offers impact across AI infrastructure and platform reliability at scale.Compensaciones / Incentivos
- Design and own the core platform for deploying and running autonomous AI agents (model serving, tool-calling, state management)
- Build high-throughput, low-latency inference services on GPU/TPU clusters and implement autoscaling with Kubernetes/Knative
- Create CI/CD u0026 MLOps pipelines for model versioning, canary releases, and rollback
- Define SLO/SLI,



set up monitoring (Prometheus, OpenTelemetry), and lead incident response
- Implement security controls (IAM, sandboxed execution, data-residency policies)
- Deliver developer-friendly SDKs, CLI tools, and documentation for internal teams and external partners
- Mentor junior engineers and champion best-practice code standardsResponsabilidades
- Experience designing scalable AI platforms and distributed systems
- Proficiency with Kubernetes and Knative for deployment and autoscaling
- Experience with GPU/TPU-based inference and model serving
- Strong background in CI/CD and MLOps pipelines (model versioning, canary releases, rollback)
- Monitoring and incident response using Prometheus and OpenTelemetry
- Security controls including IAM and sandboxed execution
- Developer tooling and documentation experience for internal and external usersRequisitos principales
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📌 Lead Ai Platform Engineer (M/F/D) (Granada)
🏢 Deutsche Telekom
📍 Granada