• Design and build full-stack applications that power AI-driven workflows for enterprise users. • Oversee and review the work of other engineers, ensuring high-quality, production-ready code. • Provide technical guidance, architectural direction, and hands-on support where needed. • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization. • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation. • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems. • Establish engineering best practices across testing, deployment, and performance optimization. • Continuously iterate and refine AI-driven products, balancing speed with robustness.