Build and scale production-grade data infrastructure for agentic AI systems
Engineer resilient platforms for long-running agent workflows and multi-agent coordination
Design and maintain data pipelines connecting distributed enterprise data to a centralized semantic/knowledge layer
Define and track SLIs/SLOs for task completion reliability and reasoning quality
Implement CI/CD practices tailored for agent deployments

Master’s degree in software engineering, Computer Engineering, Information Technology, or related field with 5+ years of experience
OR PhD in Software Engineering, Computer Engineering, Information Technology, or related field with 3+ years of experience
Experience in DevOps, SRE, data engineering, or infrastructure engineering for production AI or distributed systems
Python skills for orchestration, data pipeline development, and platform automation

AI Software Development Engineer

Key skills