AI Platform Engineer

Job Description

We are seeking a highly skilled AI Platform Engineer to design, build, and operate our next-generation AI application platform. In this role, you will work on advanced AI systems including Retrieval-Augmented Generation (RAG) pipelines, multi-model gateways, Model Context Protocol (MCP) tools, agentic workflow automations (e.g., n8n), and secure chat interfaces such as OpenWebUI or custom-built solutions.

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. This role will work closely with product, data, and security teams to deliver scalable, secure, and high-performing AI-driven applications.

Key Responsibilities

• Design, 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 IaC (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 to deliver high-impact AI features and integrations.
• Troubleshoot production issues and continuously improve the platform’s architecture and performance.

Required Skills & Qualifications

Preferred Qualifications