The only end-to-end system that translates dev experience into AI roles, from ATS-optimized resume to interview-ready confidence.

👨🏻‍💻 Specifically build for software engineers, backend developers, and technical professionals pivoting to LLM/AI roles who are getting auto-rejected from AI jobs despite having relevant technical experience 😫

ApplyGenius is a consultative resume translation and interview prep system that extracts AI/LLM-relevant experience through intelligent questions, rewrites it in recruiter language, optimizes for ATS, and prepares users to defend every claim in interviews.

Unlike generic resume builders that keyword-stuff for any role and leave users unprepared for interviews we specialize exclusively in dev→AI pivots, use consultative questions instead of blind AI rewrites, and include interview simulation tied to specific resume claims.

We Don't Help You Fake It, We Help You Frame It

The job market is broken. ATS systems auto-reject 75% of qualified candidates. AI has made every resume sound the same. Developers with real skills are drowning in a sea of keyword-stuffed mediocrity.

We're not here to game the system. We're here to fix the translation problem.

Your backend work IS ML-relevant experience. Your API architecture decisions ARE model serving expertise. Your data pipeline optimizations ARE feature engineering skills. Recruiters just don't see the connection because you're speaking different languages.

We believe in the pivot you're making. AI is reshaping the economy, and developers have the technical foundation to thrive in this shift. You shouldn't be locked out because you don't know how to translate "built scalable systems" into "ML infrastructure experience."

We're consultants, not con artists. Our tool asks the hard questions. Your answers provide the substance. Together, we build a resume you can defend with confidence because it's true.

The result: You get past ATS, you win interviews, and you actually land the role.

Not because you faked it, but because you finally framed it right.