Inference Engineering Is Still Early, and Demand Is Rising Fast

Madisonkanna · x · 2026-07-21

Handwritten notes from a Baseten YouTube conversation summarize why inference engineering is still early and increasingly important.

Key points captured in the notes:

people from many backgrounds can contribute without a PhD because the field is still immature;
more companies are building inference strategies, so demand for the skill is rising;
inference engineering matters beyond pure inference specialists, including training teams doing RL post-training rollouts;
engineers moving into AI can still add value through practical system knowledge and historical ML context.

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