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Solutions • Engineering & Technical Hiring

Tech hiring without keyword roulette.

RecruitAI scores engineers on built systems, not buzzwords — distributed systems, concurrency depth, K8s/cloud-native patterns and architecture leadership — blind, calibrated, and exportable to your ATS.

Why engineering teams switch to RecruitAI

Architecture depth, not icons

Evaluates Raft, Kafka/ClickHouse, Kubernetes operators, Rust Tokio — with evidence quotes from resumes, not checkbox presence.

Interview kits that save staff time

Auto-generates probing questions tailored to candidate gaps — e.g., “Walk through your index tuning decisions for 150k DAU Postgres cluster.”

Sub-second ranking for 500+ applicants

31ms pgvector retrieval turns top-of-funnel from days to minutes — staff review only top decile.

Stacks we evaluate deeply

React / Next.jsNode.js / TypeScriptPython / Django / FastAPIRust / GoPostgreSQL / RedisKafka / ClickHouseKubernetes / DockerAWS / GCPML / EmbeddingsLangGraph / LLM Apps

FAQ — Tech hiring

Can it evaluate non-engineering roles?▾

Yes. Rubrics are generated from any JD — product, design, data, GTM — but tech hiring is our sweet spot with the deepest evaluation dimensions for languages, infra and architecture impact.

How does it handle stack-specific nuance?▾

Screening matches semantics, not acronyms: ‘distributed consensus’ finds Raft/Paxos/ZooKeeper experience; ‘high-throughput APIs’ matches scale numbers and latency improvements — not just ‘API’ keyword presence.

Is blind screening safe for eng hiring?▾

Critical. Studies show resume prestige signals distort technical assessments. Blind mode ensures scores reflect delivered systems, not university or past employer branding.

Ship your next eng req faster

Upload role + resumes. Get a rubric, blind scores and interview questions in one pass.

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