📋 Description

• Define and execute engineering vision across backend, frontend, and AI products
• Lead development of production-grade AI applications using LLMs and agents
• Drive adoption of AI engineering practices including evaluation frameworks
• Build, mentor, and scale high-performing engineering teams
• Oversee end-to-end execution of complex cross-functional initiatives
• Ensure operational excellence through CI/CD, observability, and cloud-native architectures

🎯 Requirements

• Bachelor's or master's degree in CS or equivalent practical experience
• 15+ years software engineering, 8+ years leading engineering teams
• Expertise in Python, C#, Java, or JavaScript
• Experience with distributed systems and cloud-native platforms
• Hands-on AI systems development with LLMs and orchestration frameworks
• Deep knowledge of Azure, AWS, or GCP, plus Docker and Kubernetes