The 2026 AI engineer roadmap: six stacks from vector search to multi-agent ops
mdancho84 · x · 2026-09-17
Matt Dancho shares a learning roadmap for becoming an AI engineer in 2026, covering six areas: the vector stack (embeddings, vector DBs, hybrid search); RAG & context (reranking, GraphRAG, long-context management); pipelines (chaining, routing, LangChain/LlamaIndex); the agentic layer (tool use, planning loops, multi-agent orchestration); evaluation (golden datasets, LLM-as-a-Judge, metrics, CI/CD evals); and ops (tracing, cost & latency optimization).
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