Role Overview
As the AgOps Lead, you will bridge the gap between AI development and real-world execution. Your mission is to design, deploy, and manage a fleet of autonomous AI agents that handle complex business workflows. You aren’t just building models; you are managing a digital workforce.
Key Responsibilities
- Orchestration: Design multi-agent frameworks where specialized AI entities collaborate to solve end-to-end tasks.
- Infrastructure: Maintain the “Agent Stack,” ensuring seamless integration between LLMs, local databases, and third-party APIs.
- Optimization: Monitor agent performance, refine decision-making logic (chain-of-thought), and minimize “hallucinations” in autonomous loops.
- Governance: Implement guardrails for agent autonomy to ensure security, cost-efficiency, and brand alignment.
Required Skills
- Technical: Proficiency in Python, vector databases (Pinecone/Milvus), and agentic frameworks (LangGraph, CrewAI, or AutoGen).
- Architecture: Deep understanding of RAG (Retrieval-Augmented Generation) and tool-calling schemas.
- Mindset: A “Systems Thinker” who can map complex manual business processes into automated logic.
