AI Platform Engineer — Agentic SDLC

📋 Description Extend and harden an AI-driven SDLC platform built on Kiro IDE. Design AI agents to orchestrate multi-step SDLC workflows. Build RAG pipelines and integrate with enterprise ALM/DevOps tools. Author steering files with governance and lifecycle rules. Develop self-healing, auto-remediation with human escalation. Implement event-driven hooks for CI/CD, nightly runs, and release gating. 🎯 Requirements AI Agent Systems; multi-step autonomous agents with tool-use and guardrails. RAG Pipelines; embedding, vector DB, context grounding. TypeScript / Node.js; 4+ years production-grade. LLM Integration; Azure OpenAI or equivalent; prompt engineering, structured outputs, function calls. Full-Stack Architecture; API, queue, DB, frontend, infra. CI/CD & DevOps; Docker, pipelines, release gates. 🎁 Benefits Knowledge of Kiro, Cursor, Windsurf; AI-native IDEs advantageous. Nice-to-Have: MCP, Playwright, Rally/Azure DevOps API, property-based testing.