AI Agents ≠ Just LLMs

AI Agents ≠ Just LLMs

It’s a complex discipline that touches every layer of modern AI systems.

AI Engineering (for Agents & RAG):
• Retrieval.
• Prompting.
• Tool calling.
• State handling.
• Memory design.
• Context building.
• Response evaluation.
• Knowledge grounding.
• Caching and reranking.
• Observability & logging.
• Event-driven workflows.
• Agent orchestration logic.
• Error handling & fallbacks.
• API and service integration.
• LLM orchestration & routing.
• Autoscaling & infra reliability.
• Security, auth, and rate limiting.
• Vector databases and indexing.
• Data pipelines and ingestion jobs.
• Evaluation & continuous feedback.

This list could go on and on.
Most of it comes under Software Engineering :)

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