The role involves supporting an engineering and construction organization by modernizing the review and auditing process for technical documents. The project focuses on the advancement of a production-grade, Azure-based AI platform that utilizes intelligent automation to improve review quality and volume. The engineer will work on backend services, AI workflow reliability, system orchestration, and operational hardening. Responsibilities include extending event-driven functions, managing AI agent lifecycles, and integrating document ingestion workflows. The position requires maintaining existing production systems while collaborating with a lead engineer to ensure scalability and performance.

The role requires a senior-level engineer with at least 6 years of professional software engineering experience. Candidates must possess strong hands-on experience with Python backend development and the Microsoft Azure ecosystem, specifically regarding production environments. Proficiency in Azure Functions, Durable Functions, and AI-related tools such as Azure AI Foundry, Microsoft Agent Framework, or Azure OpenAI is necessary. Additionally, the candidate must demonstrate solid engineering practices including testing, logging, and observability.