AI Engineer (GenAI and Agentic AI)

Required Qualifications

Hands‑On Technical Expertise (Recent and Demonstrable)

• Backend / AI: Python (FastAPI preferred), Node.js/TypeScript; LangChain, LangGraph; Azure OpenAI / OpenAI patterns for production.
• Frontend: React (TypeScript) familiarity to guide full‑stack patterns.
• Data: PostgreSQL / Azure SQL / SQL Server; vector/RAG concepts and data access patterns.
• DevSecOps: Azure DevOps or GitHub Actions, Docker, IaC (Terraform/Bicep), secrets management, and security scanning integration.
• Quality Engineering: automated testing strategies (Playwright or equivalent), plus experience defining quality gates.

Architectural Leadership

• Proven experience designing complex, scalable, secure systems and guiding multiple engineering teams through design decisions and tradeoffs.
• Strong ability to drive engineering standards and governance through influence, reviews, and enablement (not command-and-control).

Key Responsibilities

1) Architecture & Technical Direction

• Define and own reference architectures for LLM‑powered applications, agentic workflows, and platform-integrated solutions (RAG, tools, orchestration, APIs).
• Lead architecture decisions for scalability, cost, latency, observability, and resiliency across the program.
  • Create and maintain standard patterns: agent orchestration, prompt/response flows, data access, caching, and safe tool execution.