Design, build, and maintain production-ready multi-agent AI systems.
Develop AI solutions that automate research, content, and business development workflows.
Architect scalable agent workflows with appropriate human oversight and governance.
Define engineering standards and best practices for AI system development.
Own the long-term operation, maintenance, and continuous improvement of AI systems.

🎯 Requirements

Several years of professional software engineering experience.
Hands-on experience building and deploying LLM-based or agentic AI systems into production.
Experience owning technical systems from architecture and development through deployment and
Demonstrated ability to independently design, build, and maintain production applications.
Strong Python programming experience with production-ready AI applications.
Hands-on experience with AI agent and workflow orchestration frameworks (e.g., LangGraph

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