@hackproduct9: Most people think becoming an AI Engineer is about learning more models. I think it’s the opposite. The industry is full of people who understand models. The shortage is people who can build systems. A practical roadmap: 1️⃣ Foundations Python • Data • SQL 2️⃣ Models ML • Deep Learning • Transformers 3️⃣ Context Prompting • RAG • Evaluation 4️⃣ Systems Memory • Tools • Observability 5️⃣ Agents Planning • Workflows • MCP 6️⃣ Products Users • UX • Business Impact Notice what happens. The further you move down the stack, the fewer people you find. And the more value you create. Most people stop at Models. The real leverage starts at Systems. The highest-impact AI engineers aren’t prompt engineers. They’re system builders. They understand data, context, memory, agents, products, and business outcomes. Don’t just learn models. Build systems that create value. Follow @hackproduct for practical AI engineering, system design, agents, MCPs, and real-world AI workflows. #AI #AIEngineering #ArtificialIntelligence #MachineLearning #LLM #

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Tuesday 09 June 2026 23:13:35 GMT