AI Application Developer

2 weeks ago

pushkar, India beBeeaiplatform Full time

Exciting opportunity for a skilled AI Platform Engineer to design, build, and operate cutting-edge AI application platforms.We are seeking an expert in advanced AI systems including Retrieval-Augmented Generation (RAG) pipelines, multi-model gateways, Model Context Protocol (MCP) tools, agentic workflow automations, and secure chat interfaces. In this role, you will be responsible for ensuring the production readiness of all platform components, covering Infrastructure as Code (IaC), CI/CD pipelines, Kubernetes orchestration, observability, cost optimization, and governance.You will collaborate closely with product, data, and security teams to deliver scalable, secure, and high-performing AI-driven applications.Key Responsibilities:Design, develop, and operate RAG pipelines, model gateways, MCP integrations, and agent workflows.B uild and maintain secure chat interfaces using OpenWebUI or custom UI components.Ow n IaC (Terraform, Helm, etc.), CI/CD automation, and Kubernetes-based deployments for all AI platform components.I mplement robust observability solutions (monitoring, logging, tracing) across the platform.E nsure platform reliability, uptime, and scalability using SRE and DevOps best practices.O ptimize compute, storage, and inference costs while maintaining performance and quality.E stablish strong governance, access control, and compliance processes across AI workloads.C ollaborate cross-functionally with product, data science, engineering, and security to deliver high-impact AI features and integrations.T roubleshoot production issues and continuously improve the platform's architecture and performance.Required Skills & Qualifications:4–10+ 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 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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