DEV Community: prem vishnoi

AI Engineer interview process

prem vishnoi — Sun, 18 Oct 2026 02:46:44 +0000

At that time I was already working as Head of Data, so it was a bit humbling. After that, I changed my approach and managed to pass the next three interviews.

Most people prepare the wrong way for AI Engineer roles. They focus too much on theory (transformers, attention, papers) and not enough on what companies actually test:

Can you build and ship AI features?
Do you understand RAG, agents, and evaluation?
Can you talk about cost, latency, and reliability?
Do you have real projects you can explain deeply?

In the full article I broke down:

What AI Engineers actually do day-to-day
Skills that matter vs skills that don’t
Real interview questions (with how to answer them)
How companies evaluate LLM applications
3 projects that impress hiring managers
A practical 12-week prep plan

Here’s the full write-up:
https://medium.com/the-agentic-architect/how-to-prep-for-first-ai-engineer-interview-and-actually-get-the-offer-in-2027-b1ebe2b9fab0

Would love to hear from others — what’s been the hardest part of AI Engineer interview prep for you?

Enterprise Data Architecture and Modeling: Key Practices and Trends

prem vishnoi — Sun, 05 Jan 2025 14:53:25 +0000

Data architecture transcends the boundaries of data storage — it is a discipline focused on creating a robust foundation that transforms raw data into actionable insights.

This article provides a deep dive into enterprise data architecture, emphasizing system architecture, data modeling, and emerging trends like Data Mesh and Federated Multi-Cloud Architecture.

By mastering these, professionals can ensure scalability, innovation, and consistency in their organizations.

Key Areas of Focus

System Architecture: Explore data storage systems, flow, and optimization strategies such as the Medallion Architecture.
Data Modeling: Learn about dimensional modeling, schema designs, and how they enable fast analytics.
Emerging Trends: Understand modern paradigms like Data Mesh and Multi-Cloud Federated Architectures, which are reshaping enterprise systems.

Part 1: System Architecture

https://medium.com/@premvishnoi/enterprise-data-architecture-and-modeling-key-practices-and-trends-7a40d4fe8746