Chief AI Infrastructure Specialist

7 days ago

ajmer, India beBeeAIENGINEER Full time

We're seeking an expert in AI Platform Engineering to lead the design and implementation of our next-generation AI application platform.Key ResponsibilitiesDesign and develop cutting-edge AI systems including Retrieval-Augmented Generation (RAG) pipelines, multi-model gateways, Model Context Protocol (MCP) tools, and agentic workflow automations.Build and maintain secure chat interfaces using OpenWebUI or custom UI components.Ensure production readiness of all platform components, covering Infrastructure as Code (IaC), CI/CD pipelines, Kubernetes orchestration, observability, cost optimization, and governance.Collaborate with cross-functional teams to deliver scalable, secure, and high-performing AI-driven applications.Troubleshoot production issues and continuously improve the platform's architecture and performance.Required Skills & Qualifications4–10+ years of experience in software engineering, DevOps, or AI/ML platform engineering.Strong hands-on programming experience in Python, Go, or TypeScript.Expertise with Kubernetes, container orchestration, and cloud-native tooling.Proficiency with Terraform, Helm, or other IaC frameworks.Experience building RAG pipelines, LLM integrations, or similar AI workflows.Familiarity with n8n, LangChain, OpenWebUI, or custom chat interface frameworks.Solid understanding of observability tools (Prometheus, Grafana, ELK, OpenTelemetry).Preferred QualificationsExperience with multi-model routing, inference gateways, or vector databases.Knowledge of MCP (Model Context Protocol) and related developer tooling.Prior experience scaling AI or distributed systems in cloud environments (AWS, GCP, Azure).Understanding of SRE principles, access governance, and security best practices.

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