AI Engineer vs ML Engineer vs GenAI Engineer
How these roles actually differ in day-to-day work, required skills, and typical career paths, so you can pick a direction.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1What an ML engineer typically does: data, model training and deployment
- 2What an AI engineer typically does: integrating models into products and systems
- 3What a GenAI engineer typically does: LLM applications, prompting, RAG and agents
- 4Where these roles overlap and why job titles are often used loosely
- 5Skills and background that suit each role
- 6How to read a job description to see which role it really is
Who it's for
- • Students and developers choosing an AI specialisation
- • Anyone confused by overlapping AI job titles
You'd leave with
- A clear comparison of the three roles
- A way to decode job descriptions
- A direction to explore based on your interests
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