AI Platform Expert

1 week ago


junagadh, India beBeeEngineer Full time

Job OverviewAs a seasoned AI Platform Engineer, you will design, develop, and operate our cutting-edge AI application platform. This pivotal role requires expertise in advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-model gateways, Model Context Protocol (MCP) tools, and secure chat interfaces.The successful candidate will work closely with product, data, and security teams to deliver scalable, secure, and high-performing AI-driven applications. Key responsibilities include designing, developing, and operating the company's AI application platform, building and maintaining secure chat interfaces, owning IaC, CI/CD automation, and Kubernetes-based deployments for all AI platform components, implementing robust observability solutions, ensuring platform reliability, uptime, and scalability using SRE and DevOps best practices, optimizing compute, storage, and inference costs while maintaining performance and quality, establishing strong governance, access control, and compliance processes across AI workloads, collaborating cross-functionally with product, data science, engineering, and security to deliver high-impact AI features and integrations, and troubleshooting production issues and continuously improving 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).Experience with secure, production-grade deployments of AI or distributed systems.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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