Agentic AI jobs, classified by what the role actually does

Builds and ships autonomous AI agents — tool use, planning loops, memory, and evals.

Designs multi-agent systems and the platforms teams build agents on.

Runs agents in production — monitoring, evals, cost, latency, and reliability.

Maps business processes into agent workflows — part product, part automation.

Owns the roadmap, evals strategy, and go-to-market for agent products.

Designs, tests, and optimizes the prompts and context that drive LLM and agent behavior.

Builds applications and infrastructure on top of large language models — RAG, fine-tuning, inference, and evals.