// blog
AI engineering,
straight talk.
Practical guides on RAG pipelines, agents, evals, and how to prove your skills in a market full of noise.
How to Ace an AI Engineering Interview (Technical + System Design)
AI engineering interviews have changed fast. Algorithm questions are out. System design with real AI components, debugging exercises, and take-home challenges are in. Here's how to prepare.
AI Engineering Jobs in India in 2026: Salaries, Companies, and What They Want
The Indian AI job market has changed dramatically in the last 18 months. Here's what's actually happening — which companies are hiring, what they pay, and what skills they want.
What AI Hiring Managers Actually Look For in 2026
We talked to engineers who hire for AI roles. The gap between what candidates think matters and what actually gets them hired is wider than most people realise.
Writing Evals for LLMs: A Practical Guide
Vibe-checking your model outputs is not evaluation. Here's how to build a real eval pipeline — test sets, planted failures, LLM-as-judge, and metrics that actually tell you something.
Why Your AI Side Projects Don't Get You Hired (And What Does)
You've built impressive things. You have the GitHub repos to prove it. So why aren't you getting callbacks? The problem isn't what you built — it's that nobody can verify it.
What a Great RAG Pipeline Actually Looks Like
Most RAG pipelines retrieve the wrong chunks, hallucinate confidently, and have no way to know when they're failing. Here's what separates production-grade RAG from a demo.
How to Get Hired as an AI Engineer in 2026 (Without Faking It)
The AI engineering job market is noisy with candidates who list GPT on their resume. Here's what actually gets you hired — and how to prove you belong.