The role involves designing, developing, and supporting cloud-native automation and AI agent workflows. The individual will build agents to orchestrate various tools, APIs, and workflows while integrating these automations with enterprise systems. Responsibilities include containerizing services and supporting CI/CD pipelines to ensure efficient deployment. The position requires operating solutions on cloud infrastructure and implementing robust logging, error handling, and monitoring. Additionally, the role focuses on developing iterative retrieval systems where agents autonomously determine information needs. Collaboration with architects to follow defined standards is a core component of the position.

The role requires a minimum of nine years of experience in Python development, specifically focusing on automation and backend services. Candidates must possess hands-on experience with LangChain or LangGraph, as well as proficiency in Docker and container-based deployments. Knowledge of AWS at a practitioner level is required, along with familiarity with JavaScript, REST APIs, JSON, and Git. Applicants must be legally authorized to work in the United States without company sponsorship.