AI Platform Engineer

Primary SkillsObservability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQLAutomation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIsCloud & Platform: Docker, Kubernetes, Kafka, RedisReliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident ManagementStakeholder Management & Cross-functional CollaborationSecondary SkillsAgentic AI: LangChain, LangGraph, RAG, MCPLLM Integration & AI FrameworksPython (FastAPI)Key ResponsibilitiesBuild and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.Integrate AI capabilities into existing applications using modern AI frameworks.Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.Lead incident response, RCA, disaster recovery, and resiliency initiatives.Drive production readiness, automation, platform stability, and infrastructure optimization.