The role involves building agentic systems that power next-generation AI-driven analytics. The successful candidate will design and implement agent skills and plugins to extend the agent harness. Responsibilities include building evaluation frameworks to measure agent quality and contributing to the performance of agent workflows. The work focuses on enabling customers to delegate complex analytical tasks to autonomous AI agents. The position requires shipping production-ready code that solves real customer problems.

The role requires at least three years of software engineering experience, including a minimum of two years building agentic AI systems in production. Candidates must possess hands-on experience implementing agent skills, plugins, or tools. Proficiency in Python is required, and the candidate must understand agent planning loops, tool-calling protocols, and prompt engineering. Strong written communication skills are necessary to explain complex architectures to diverse stakeholders.