@bashifuirkashi: Software engineers in 2026 don't need to become AI researchers. But you do need to understand the stack that companies are actually hiring for. The 5 general categories I'd focus on: 1. LLMs & RAG 2. AI Safety & Guardrails 3. Machine Learning Fundamentals 4. Agents, Tool Calling & Orchestration 5. AI Ops, Evaluation & Monitoring The engineers getting interviews are building production-style systems that use these skills together. Learn how to retrieve data. Learn how to evaluate outputs. Learn how to deploy and monitor AI systems. Learn how to build agents that can actually take actions. That's where the market is moving. Link in bio for the the exact skills, projects, and learning path I'd follow to become an AI Engineer in 2026.