Your students are graduating into a job market where AI engineering roles require RAG, agent orchestration, and LLM evaluation skills — not LeetCode. Velocode is the first interview prep platform built for this gap. Now accepting founding partner applications for Fall 2026.
Career services teams are working with platforms designed for 2019 software engineering interviews. Meanwhile, your top students are interviewing for roles that didn't exist two years ago.
A Series B startup spent six months recruiting a Senior AI/ML Engineer from a FAANG company. Three weeks in, the CTO asked them to implement a basic data pipeline. The engineer couldn't do it. Not "did it poorly" — literally couldn't write the code.Read the full article →
The average fill time for AI roles dropped to 25 days because smart companies have figured out that a drawn-out process is the same as a rejection. If your interview timeline stretches past three weeks, you are almost certainly losing people to someone who moved faster.Read the full article →
We removed our coding and algorithms interviews and replaced them with an AI-native onsite. The role is shifting from building the machine to designing and honing it.Read the full article →
These aren't just industry articles — they're the conditions your engineering students are graduating into. Velocode is the response: the platform built specifically to prepare students for the AI engineering interview as it actually exists, not the LeetCode interview it used to be.
A complete AI engineering interview prep stack for your students, and an analytics dashboard for your career services team. Browse practice problems →
AI Engineer, ML Engineer, Data Engineer, AI Security Engineer, and Software Engineer (AI-Era). The full catalog, free for your students.
Every problem reported from a real interview at a verified AI company. No hypotheticals.
Students get scored on correctness, architecture, efficiency, and security — with the golden answer revealed after every submission.
Real-time analytics on student usage, score progression, and struggle areas. Outcome data you can share with your team and your dean.
Career services budgets get cut when they can't prove impact. Velocode gives your team the metrics that protect your funding.
Schools with strong technical interview prep see measurable placement-rate lifts — Northeastern, Bentley, and Worcester Polytechnic all attribute their 95%+ placement rates partially to integrated career services tooling. Velocode's dashboard gives you the per-domain data to show your dean what's working.
The “cost of inaction” model used at the University of South Florida shows that retaining just 10 at-risk students protects $250K in tuition revenue. Velocode's struggle-area analytics let you intervene with engineering students before they fall behind — not after.
EducationDynamics' 2026 reporting framework now requires “AI Readiness” metrics in institutional reports. Velocode generates the data your accreditation team needs — which students are AI-trained, which domains, and how their skills compare to industry benchmarks.
Your dean wants outcomes, not activities. Your dashboard gives you both — broken down by domain, by cohort, and by individual student where it matters.
SAMPLE100 at checkoutWe work with 2-3 founding partner schools per semester to ensure white-glove support. Onboarding is fast and the lift on your team is minimal.
Reach out to discuss your school's needs. We work with 2-3 founding partner schools per semester to ensure white-glove support.
We set up a custom dashboard for your team and an SSO flow for your students. Your career services team gets a dedicated contact.
Send the invitation email to your students. Track usage, scores, and struggle areas in real time. We run one workshop per semester for your students.
If anything else comes up, the inquiry form below goes to a real human on our team.
We work with 2-3 founding partner schools per semester. Tell us a bit about your program and we'll send a tailored proposal.