Advanced AI Systems Developer

2 weeks ago

aligarh, India beBeePlatform Full time

AI Platform Engineer OpportunityEstablish a high-performing AI application platform that combines advanced technologies like Retrieval-Augmented Generation (RAG) pipelines, multi-model gateways, and Model Context Protocol (MCP) tools. This role requires expertise in designing, building, and operating scalable, secure, and high-quality AI-driven applications.ResponsibilitiesDesign, develop, and operate the company's AI application platform, including RAG pipelines, model gateways, MCP integrations, and agent workflows.Build and maintain secure chat interfaces using OpenWebUI or custom UI components.Own Infrastructure as Code (IaC) implementation using Terraform, Helm, etc., CI/CD automation, and Kubernetes-based deployments for all AI platform components.Implement robust observability solutions (monitoring, logging, tracing) across the platform.Ensure platform reliability, uptime, and scalability using SRE and DevOps best practices.Optimize compute, storage, and inference costs while maintaining performance and quality.Establish strong governance, access control, and compliance processes across AI workloads.Collaborate cross-functionally with product, data science, engineering, and security teams to deliver high-impact AI features and integrations.Troubleshoot production issues and continuously improve the platform's architecture and performance.Requirements4–10+ 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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