AI Platform Engineer

Role Overview

We are seeking a Senior AI Platform Engineer to design and build enterprise-grade internal platforms, developer tooling, and automated cloud-native solutions. In this role, you will architect AI/LLM-powered systems and multi-agent workflows that interact seamlessly with external APIs, repositories, and enterprise platforms. You will enforce production-ready evaluation, guardrails, and Infrastructure as Code (IaC) governance across cloud environments.

Key Responsibilities

• Platform Architecture: Design and implement internal developer platforms, automation tools, and cloud-native solutions using TypeScript, Node.js, and/or Python.
• Agentic AI Orchestration: Build production-grade multi-agent systems and AI workflows that interact with external tools, APIs, code repositories, and enterprise services.
• Cloud Infrastructure & IaC: Provision, govern, and maintain AWS cloud infrastructure utilizing Terraform (or CDK/CloudFormation), ensuring 100% code-driven deployment patterns.
• AI Governance & Observability: Implement evaluation metrics, guardrails, audit logging, and prompt/action traceability to ensure AI outputs are deterministic, secure, and production-ready.
• CI/CD & Developer Tooling: Integrate platform solutions into GitHub Actions and AWS CI/CD pipelines to streamline engineering workflows.

Top 5 Must-Haves (Required on Resume)

• Platform Engineering Experience: Proven track record building internal platforms, developer tooling, or cloud-native automation systems.
• Core Development Languages: Strong proficiency in TypeScript / Node.js and/or Python.
• Cloud & IaC: Hands-on AWS experience with Terraform (or AWS CDK) for Infrastructure as Code.
• AI / LLM Integration & Agentic Systems: Experience building systems that interact with external tools/APIs via agentic frameworks (**Amazon Bedrock Agents/AgentCore, LangGraph, LangChain