Career Guidance for AI Engineers 2026

Hosted by: Dhaval Patel, Siddhant & Srikanth Dongala

Free

Wed, 02 Sep 2026
08:00 PM - 09:00 PM IST

Online (Zoom)

Hosted by

Dhaval Patel

Data Entrepreneur (12+ Years), YouTuber, Ex - Bloomberg, NVIDIA

Siddhant

AI Research Engineer

Srikanth Dongala

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AI engineering is becoming one of the most talked-about career paths in tech, but what does it actually take to become one?

The ecosystem is evolving almost every month. New models, agent frameworks and AI tools are changing what engineers build and how they build it. At the same time, there is a lot of confusion around what companies actually expect from an AI Engineer beyond knowing how to use an LLM or build a chatbot.

In this webinar, experienced AI professionals will share what they are seeing in the industry, how the AI Engineer role is evolving, what skills are becoming important, and how you can prepare yourself for the opportunities ahead.

What You'll Learn

✅ What an AI Engineer actually does: understand how the role differs from software engineering, data science and ML engineering and where the boundaries are starting to overlap

✅ What matters in the real world: go beyond prompts and prototypes to understand the engineering skills needed to build reliable AI-powered applications and systems

✅ What to learn in 2026: get a practical view of the technologies, engineering fundamentals and AI concepts worth investing your time in and what you don't need to chase

✅ From projects to production: understand what separates a portfolio project or POC from the kind of AI systems companies need engineers to build and maintain

✅ Live Q&A: ask your questions about learning paths, career transitions, interviews, roles and opportunities in AI engineering

This Session Is for You If

✅ You are considering AI Engineering as your next career move and don't know where to start

✅ You are a software developer, data professional or ML practitioner looking to transition into AI engineering

✅ You have been learning LLMs, RAG, AI agents or GenAI tools but aren't sure what to learn next

✅ You are building AI projects and want to understand what it takes to make them more production-ready

✅ You want an honest perspective from people working in AI about the skills, roles and opportunities that are emerging in 2026