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Roles & experience levels

6 roles across 4 experience levels. 13749 tagged questions. Pick the slice that matches where you are in your career.

Roles

Builds production GenAI applications, prompting, RAG, agents, fine-tuning, inference cost and latency tradeoffs.

Specializes in retrieval-augmented systems, chunking, retrieval, reranking, vector DBs, RAG eval.

Integrates AI into product surfaces, UX flows, streaming, latency budgets, fallbacks, API contracts.

Works on the science, papers, theory, training dynamics, novel architectures, scaling laws.

Serves, scales, and monitors LLM systems, capacity, latency, observability, rollouts, on-call.

Owns AI feature strategy + roadmap, evaluation, ROI analysis, vendor selection, success metrics.

First AI role, conceptual depth and fundamentals matter most.

2-5 years experience, expected to design + ship features end-to-end with light supervision.

Architecture + scaling + technical leadership for AI systems.

Backend / DS / SRE ramping into AI, needs accelerated fundamentals + production lens.