Software Engineer Interview Prep Podcast
Jun 6, 2026 · 2 min · 4 segments
SEASON 1 — "The Shift" Listen to - S1E1 Interview an engineer who transitioned from backend → AI engineer. Their story IS the season premise.
Good news, you don't need a fancy data science PhD for this.
It's literally just a backend engineering challenge.
Look at these skills: API design, caching, queues.
Let's translate some concepts.
Your old static environment variables, yeah, those are now your prompts and model parameters.
And you can wave goodbye to basic unit tests.
Now you're building evals and checking against golden datasets.
Standard logging gets a major upgrade too.
You're tracking actual prompts and doing token level cost tracing now.
Forget rate limiting your own API.
Now you're sweating over tight token budgets and strict provider limits.
Database migrations just become model upgrades, while everyday third party risks morph into some serious provider lock-in.
Good news, you don't need a fancy data science PhD for this.
It's literally just a backend engineering challenge.
Look at these skills: API design, caching, queues.
Let's translate some concepts.
Your old static environment variables, yeah, those are now your prompts and model parameters.
And you can wave goodbye to basic unit tests.
Now you're building evals and checking against golden datasets.
Standard logging gets a major upgrade too.
You're tracking actual prompts and doing token level cost tracing now.
Forget rate limiting your own API.
Now you're sweating over tight token budgets and strict provider limits.
Database migrations just become model upgrades, while everyday third party risks morph into some serious provider lock-in.
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