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Naresh Edagotti

Sep 2026 • linkedin

Post excerpt

AI Engineering is becoming one of the most misunderstood roles in tech. Two people can both call themselves AI Engineers, while working on completely different problems. One side focuses on building AI-powered products and systems using LLMs: • RAG pipelines • MCP and tool integrations • AI agents and workflows • APIs, orchestration, and deployments • Scalable user-facing applications The other side focuses on building and improving the models themselves: • Model architectures • Pretraining and fine-tuning • Optim…

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