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Inside the Recruo recruitment flow.

Sourcing, AI screening, human judgement, and a structured scorecard. Each step laid out below — plus the validation tools, compliance posture, and platform access options that hang off it.

The six-step recruitment flow

  1. 0

    Intake call

    Human (AM)

    30-min scoping call. We capture the JD, must-haves, culture, budget, timeline.

    Output: Signed mandate

  2. 1

    Sourcing

    Recruiter

    LinkedIn Recruiter, direct outreach, and regional networks across the EU (DOU, Djinni, Just Join IT), Latin America and North America — plus our private candidate network.

    Output: 60–120 raw candidates

  3. 2

    AI CV screening

    AI

    Every CV scored against the JD. Only 70+ scores move forward.

    Output: Top 15–25 ranked

  4. 3

    Soft-skills interview

    Recruiter

    20–30 min call: motivation, culture fit, salary, English, availability.

    Output: Structured notes

  5. 4

    AI technical interview

    AI Agent

    AI-conducted technical interview on video with adaptive follow-ups and anti-cheat checks — up to the fully locked-down Recruo Secure Browser. Every result is reviewed by a human recruiter.

    Output: Hard-skills report + score

  6. 5

    Shortlist delivery

    Human + AI

    3–5 candidates delivered in a single document per role.

    Output: Full candidate package

See a full scorecard example

The deliverable

What you actually get.

Every role ends with one document like this — per candidate, 3–5 candidates per role. Below is a real shortlist (redacted) for a Senior LLM Engineer at a Series B UK fintech.

Candidate A

Active
Senior LLM Engineer
92%

AI Match Result

EXCELLENT MATCH

Based on job requirements analysis

AI Executive Summary

Candidate A is an excellent fit for the Senior LLM Engineer position. With 6 years of backend experience and 3 years shipping LLM-backed features to production, they exceed the core requirements: RAG architecture, fine-tuning, and inference cost optimisation. Strong culture fit signals and salary expectations within budget. Minor gap in multimodal pipelines, addressable through onboarding.

Matched Skills

Python / PyTorchRAG architectureFine-tuning (LoRA / QLoRA)Vector DBs (pgvector, Qdrant)Eval design & LLM-as-judgeInference optimisation (vLLM)FastAPI & microservicesDocker & Kubernetes

Skills Gap

Multimodal pipelinesDiffusion modelsGPU kernel tuning

Missing Core

No prior fintech domain experience

Get this exact deliverable as a redacted PDF

A redacted, real-format shortlist PDF. No spam — one email with the file.

Premium validation tools

For senior roles where cheating costs more than missing a good hire.

Two layers of defense: AI Skills Validation tests how candidates actually use AI tools. Recruo Secure Browser ensures the test results you see are real.

78% of engineering teams now use AI daily

GitHub Copilot, Cursor, ChatGPT — AI-assisted development is the default. But most hiring pipelines still test for pre-AI skills only.

AI proficiency ≠ copy-pasting prompts

The best engineers know when to use AI, when to override it, and how to validate its output. That judgment is what separates a 2x engineer from a 10x one in 2026.

Bad AI habits cost more than no AI at all

Blindly trusting AI-generated code leads to security vulnerabilities, hallucinated logic, and tech debt that compounds silently for months.

AI Skills Validation

A dedicated module added to the technical interview: real coding tasks with AI tools available, followed by probing questions about the candidate's AI-assisted workflow. The result is a separate AI Proficiency Score alongside the standard technical evaluation.

How it works

The candidate gets access to Copilot/Cursor during part of the interview. We observe how they prompt, validate, and iterate — then score their AI fluency on a structured rubric.

AI-assisted coding

Can they use Copilot/Cursor effectively while catching errors?

Prompt engineering

Do they write precise prompts, or do they brute-force trial and error?

AI output validation

Can they spot when an LLM hallucinates, introduces a vulnerability, or produces subtly wrong logic?

AI-native architecture

Do they know when to reach for an LLM vs. a deterministic solution?

Recruo Secure Browser

Our proprietary anti-cheat interview environment. The candidate joins the AI technical interview through our locked browser session — preventing tab switching, screen sharing to a second device, and silent ChatGPT usage.

Why it matters in 2026

73% of candidates admit to using AI assistants during remote technical interviews. Without proctoring, a great-looking technical score may just be a great-looking ChatGPT prompt.

Locked browser session

Candidate cannot open new tabs, navigate away, or use external apps during the interview.

Copy-paste detection

Every paste from outside the session is flagged with timestamp and content fingerprint.

Eye-tracking & focus checks

Webcam-based attention monitoring detects looking off-screen for sustained periods.

Screen-share & process monitoring

Detects screen sharing to a second device, suspicious processes, and AI assistants running in the background.

Both included by default in Retained mandates. Available as add-ons for Standard and Fixed-Fee plans.

Most used when hiring LLM engineers, RAG engineers, Evals engineers, ML platform engineers, Agentic AI developers, Generative AI engineers or AI/ML engineers.

EU AI Act

Aligned by design, not bolted on.

AI hiring is high-risk under Annex III — the EU AI Act's list of high-risk uses, which includes hiring. Operate a screening tool yourself and you become the deployer: audit trails, bias audits and human-oversight duties land on your team. Recruo runs the AI system and hands you hired engineers. The operator burden sits with us, not with you.

Recruo is human-in-the-loop by design: AI recommends, a human recruiter owns every decision. Because we operate the system end-to-end, the deployer obligations — candidate notification, audit trails, bias audits, human-review rights — are carried inside our process, not added to your team's workload. You get the hire. We carry the paperwork.

Compliance checklist we publish per engagement

Candidate notification of AI use, in writing, before interview.

Full audit trail of AI scoring decisions, retained 5+ years.

Bias audits across gender, age, disability and ethnicity — published quarterly.

Right to human review on any AI-rejected candidate, enforced at the platform level.

CE marking and EU database registration tracked and timestamped.

No fully-automated rejection — ever. A human recruiter sees every decision.

Full security & GDPR posture

EU AI Act Rollout

Feb 2025

Prohibited AI practices ban

Aug 2025

GPAI + governance obligations

Dec 2027

Next

High-risk AI (hiring) obligations

delayed from Aug 2026 (AI Act Omnibus)

Aug 2028

Embedded AI systems + €35M penalties

Recruo is ready today

Human-in-the-loop is our default, not a retrofit. Every engagement ships with a full compliance checklist.

And the 2027 deferral doesn't pause GDPR or existing bias-audit duties — those apply to AI screening today.

Platform access

Want Recruo evaluation inside your own hiring system?

The same AI technical interview, secure browser, and structured scorecard can be discussed as private API or MCP partner access for ATS, marketplace, agency, and internal hiring workflows.

AI technical interview API

Trigger evaluations from an ATS or hiring platform and receive scorecard output through API and webhook patterns.

Explore API access

Recruiting MCP server

Expose candidate evaluation, status checks, scorecard retrieval, and audit evidence to internal hiring agents.

Explore MCP access

Get started

Ready to stop losing
engineering time to hiring?

Fill out the form and we'll reach out within 24 hours to scope your first role — or skip the wait and book a 30-min call directly below.

Pay on placement

No upfront fee on the Standard plan

90-day guarantee

Free re-search if hire leaves

EU AI Act aligned

Aligned by design

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