The 6-Layer AI Engineer Skill Stack for 2026: Vectors to Multi-Agent Ops
mdancho84 · x · 2026-10-15
Matt Dancho outlines the six modules aspiring AI engineers should master by 2026:
- Vector stack: embeddings, vector databases, semantic vs. hybrid search
- RAG & context: advanced retrieval with reranking, GraphRAG, long-context window management
- Pipelines & orchestration: deterministic chaining, model routing, LangChain/LlamaIndex frameworks
- Agentic layer: tool use, planning loops, multi-agent orchestration
- Evaluation & testing: golden datasets, LLM-as-a-Judge, faithfulness/relevance/recall metrics, continuous eval in CI/CD
- Ops & monitoring: tracing, cost and latency optimization
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