About this role

Build and scale production-grade data infrastructure for agentic AI systems.
Engineer resilient platforms for long-running agent workflows and multi-agent coordination.
Deliver data pipelines and integrations that connect agents to enterprise data.
Productionize graph-based orchestration for planner-executor-validator.
Implement state and control flows: branching, loops, routing, and approval checkpoints.
Enable robust agent-tool integration across APIs, services, data systems.
Support multi-agent collaboration patterns with guardrails for coordination.

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 at least one of the following: DevOps, SRE, data engineering, or infrastructure engineering for production AI or distributed systems.
LLM serving, retrieval infrastructure, and runtime control for non-deterministic systems.
Graph-based or agent orchestration frameworks.
Experience building RAG and knowledge-graph-backed systems for LLM applications in production.
Python skills for orchestration, data pipeline development, and platform automation.

AI Software Development Engineer

Key skills