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.