3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environments
Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms
Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows
Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangGraph, Agent Harness or platform-specific tooling), vector databases, and large context reasoning services
Understanding of agent orchestration patterns, state management, and asynchronous workflows
Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices
Good grasp of performance optimization, testing frameworks, and CI/CD pipelines
Excellent communication and collaboration skills, with a “connect + challenge + own” mindset
Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
Contributions to open-source agent toolkits or SDKs
Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces