AI skills every engineer should build

AI now touches nearly every technology role. You don't need to be a researcher to benefit — focus on applied skills.

• Using AI coding tools well: reviewing generated code critically, writing tests and keeping security in mind.
• Building with LLM APIs: prompting, structured outputs, tool use and retrieval-augmented generation.
• Evaluation: building test sets and measuring quality, latency and cost.
• Data literacy: SQL, data quality and privacy fundamentals.
• MLOps basics: versioning models and data, monitoring and rollback.
• Responsible AI: bias, safety, privacy and compliance.

Browse AI & Machine Learning jobs to see which skills employers are asking for this week.