AI Engineer (Network)

TL;DR

AI Engineer (Network): Building agentic AI systems for autonomous network optimization with an accent on reinforcement learning and real-time integration. Focus on designing scalable AI/ML pipelines, implementing production governance, and managing model serving feedback loops.

What you will do

• Develop agentic AI systems to enable autonomous network optimization.
• Build and maintain robust AI/ML pipelines for production environments.
• Design system architectures and ensure high software quality standards.
• Deploy and manage model serving, monitoring, and feedback loops.
• Implement rigorous testing and governance frameworks for production AI.
• Integrate advanced AI solutions into real-time network infrastructures.

Requirements

• Strong proficiency in Python and Java.
• Experience with reinforcement learning and agentic AI frameworks.
• Deep understanding of distributed systems and cloud-native architectures.
• Proven ability to manage model deployment, monitoring, and CI/CD pipelines.
• Solid background in software testing and production governance.
• Bachelor or Master of Science in Engineering or related field.

Culture & Benefits

• Flexible leave days to support work-life balance.
• Home office setup budget and travel reimbursement.
• Personal development and learning budget.
• Pension contributions and lease bike options.
• Discount on company products and services.
• Remote work options available.