AI Platform Engineer

1 week ago

New Delhi, India BayOne Solutions Full time

Job Description We are seeking a highly skilledAI Platform Engineerto design, build, and operate our next-generationAI application platform . In this role, you will work on advanced AI systems includingRetrieval-Augmented Generation (RAG)pipelines,multi-model gateways ,Model Context Protocol (MCP) tools ,agentic workflow automations(e.g., n8n), and secure chat interfaces such asOpenWebUI or custom-built solutions .You will be responsible for ensuring theproduction readinessof all platform components—coveringInfrastructure as Code (IaC) ,CI/CD pipelines ,Kubernetes orchestration ,observability ,cost optimization , andgovernance . This role will work closely withproduct, data, and security teamsto deliver scalable, secure, and high-performing AI-driven applications.Key Responsibilities Design, develop, and operate the company’sAI application platform , including RAG pipelines, model gateways, MCP integrations, and agent workflows. Build and maintain secure chat interfaces usingOpenWebUIor custom UI components. OwnIaC (Terraform, Helm, etc.) ,CI/CD automation , andKubernetes -based deployments for all AI platform components. Implement robustobservabilitysolutions (monitoring, logging, tracing) across the platform. Ensureplatform reliability, uptime, and scalabilityusing SRE and DevOps best practices. Optimizecompute, storage, and inference costswhile maintaining performance and quality. Establish stronggovernance , access control, and compliance processes across AI workloads. Collaborate cross-functionally withproduct, data science, engineering, and securityto deliver high-impact AI features and integrations. Troubleshoot production issues and continuously improve the platform’s architecture and performance. Required Skills & Qualifications 4–10+ years of experience insoftware engineering, DevOps, or AI/ML platform engineering . Strong hands-on programming experience inPython, Go, or TypeScript . Expertise withKubernetes , container orchestration, and cloud-native tooling. Proficiency withTerraform ,Helm , or other IaC frameworks. Experience buildingRAG pipelines ,LLM integrations , or similar AI workflows. Familiarity withn8n ,LangChain ,OpenWebUI , or custom chat interface frameworks. Solid understanding ofobservability tools(Prometheus, Grafana, ELK, OpenTelemetry). Experience with secure, production-grade deployments of AI or distributed systems. Preferred Qualifications Experience 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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