AI Engineer Roadmap
Production AI Engineer roadmap — Beginner → Junior → Mid-Level → Specialization. Roadmap priority: CORE — Must know before moving forward; DEPTH — Learn after understanding the core or when your project requires it; SPECIALIZATION — Choose based on your target AI role; FRONTIER — Know what is happening. Don’t chase it yet. Providers: Anthropic, OpenAI, Google Gemini, Meta Llama, Mistral AI. Frameworks + Protocols: LangChain, LlamaIndex, CrewAI, MCP, Hugging Face. Infra + Ship: pgvector, Pinecone, Qdrant, FastAPI, OpenTelemetry.
10
Phases
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Topics
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Complete
Production AI Engineer
Start small. Stay consistent. Grow big. Follow the 10 phases in order: Software + AI Foundations, LLM Engineering, Retrieval + RAG, Knowledge Engineering, Context + Memory, Tools + Agents, Protocols + Coding Agents, Evaluation + Security, Production + System Design, and Specializations + Frontier.
Final destination
The goal is not to know every framework. The goal is to design, evaluate, secure, deploy and operate reliable AI systems around probabilistic models.
The next phase unlocks automatically after the current phase is completed.
