Separating Hype from Practical Career Paths
With the rapid rise of generative models and LLMs, many engineering students wonder where to start and what roles are accessible directly out of college.
Roles Breakdown
- AI Application Engineer: Integrates foundational models with production apps using RAG (Retrieval-Augmented Generation), vector databases, and agentic workflows.
- Data Engineer: Builds resilient pipelines for data ingestion, cleaning, and storage (Spark, Kafka, Snowflake).
- ML Research Scientist: Develops novel model architectures and algorithms, typically requiring postgraduate research.
