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Rahul Agarwal

Founder | Agentic AI... • 15h

Your backend skills don’t define you. Your response to failure does. That’s the real test. That’s where trust forms. Backend engineering isn’t about proving your decisions are always perfectly correct forever. It’s about adapting quickly. Systems will fail sometimes. That’s guaranteed reality. Deployments will break unexpectedly during critical releases when pressure feels highest suddenly. Schemas will hit limits. Scaling exposes hidden flaws. Design choices you once defended will eventually need complete rethinking and replacement. That’s part of growth. That’s part of engineering. Strong engineers don’t hide mistakes or shift blame when things go wrong. They take responsibility fully. They fix the root. They learn immediately. They evolve their thinking. Reliability isn’t built on perfection. It’s built on accountability and consistent learning cycles. Teams notice that fast. Systems reflect it too. Progress belongs to engineers who adapt faster than their assumptions break reality.

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Will there be any openings for machine learning engineer's or AI engineer's in 2025 for freshers with an engineering degree in it? If any ML or AI engineers reading this... your insights are appreciated!

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