Evidence-based evaluation of technical interviews
Where Semantic RAG and cognitive-science methods intersect with expert review—reproducible, calibrated, and explainable for LATAM engineering teams.
8-year proprietary corpus • 12,000+ technical interviews • Expert-in-the-loop • Anomaly detection • 44 Formulas & Algorithms
We call it Axiom Cortex™
What we measure
Architectural instinct
Designs that scale and fail gracefully; solid mental models.
Problem-solving agility
Decomposes fuzzy problems into shippable steps and trade-offs.
Learning orientation
Absorbs new APIs/tools fast; adapts under changing constraints.
Collaborative mindset
Communicates rationale, invites feedback, and unblocks teammates.
How we hire the right person
Role goals & competency blueprint
We align with your business objectives and define core and secondary competencies (plus nice-to-have skills) with explicit weights and ideal-answer examples.
Recorded technical interview (~60 min)
A senior evaluator runs a structured, evidence-based interview to surface spoken reasoning, architectural choices, trade-offs, and concrete examples.
Transcript & Evidence Locker
We transcribe the recording, apply human QA, restore punctuation/terminology, time-stamp it, and produce a time-coded transcript with highlights tied to each competency.
Semantic chunking in RAG and staged/multi-step prompting
We analyze the candidate’s transcript using semantic chunking in RAG and staged/multi-step prompting that govern our proprietary LLM. Each chunk carries a competency tag, weight, difficulty, and blueprint ID—ensuring coverage, a difficulty ramp, and verification.
Per-question scoring (five checks)
For every chunk we score technical correctness, sound mental model, practical method, communication clarity, and effort & fluency.
Ideal-answer alignment & language fairness
We compare responses to the role’s ideal answers and apply language fairness calibration so L2/ESL phrasing isn’t penalized—we judge the shape of thinking.
Expert review & decision package
Human experts inspect integrity flags (including possible AI/lookup patterns), override/rescore where needed, and assemble a shortlist with rationale, risks/opportunities, targeted follow-ups, and L1–L4 leveling.
Offer & onboarding
When you’re ready to hire, we handle EOR & payroll, background checks, device provisioning/MDM/security, and onboarding—one accountable SLA.
Axiom Cortex™Psychometrics and advanced mathematics
“Wherever there is judgment, there is noise.”
Daniel Kahneman.
DANIEL KAHNEMAN is the Eugene Higgins Professor of Psychology, Princeton University, Professor of Public Affairs, the Princeton School of Public and International Affairs, and the winner of the 2002 Nobel Prize in Economic Sciences and the National Medal of Freedom in 2013
Semantic chunking in RAG
We split the interview into meaning-based chunks, retrieve the right blueprints/examples, and guide the model through a controlled, stepwise sequence—the LLM is governed, not free-running.
Per-question “five checks”
Every response is scored on five independent checks—correctness, mental model, method, clarity, effort/fluency—then rolled into a role-specific trait profile.
Language fairness calibration
Adjusts for L2/ESL discourse markers and phrasing so candidates are judged on conceptual fidelity—the quality of the idea—not accent or word choice.
AI/lookup integrity checks
Detectors surface near-verbatim phrasing from public sources and pattern shifts vs baseline; flagged segments go to expert review.
Expert-in-the-loop governance
Senior reviewers gate decisions, can override scores, and provide plain-English rationale; the pipeline is auditable end-to-end.
From scores to decisions
Senior reviewers gate decisions, can override scores, and provide plain-English rationale; the pipeline is auditable end-to-end.
Redacted sample evaluation. Format and fields vary by role/level.
Nearshore LATAM Technical Interview Evaluation — 44 Methods & Metrics (CTO Appendix)
Semantic RAG, staged/multi-step prompting, calibration, fairness, and reliability—built for nearshore LATAM hiring.
Scoring & aggregation
Drift & stability monitoring
Item calibration & measurement
Calibration & reliability
Fairness & bias control
Integrity & anomaly detection
What to expect, every time
Governed by semantic chunking in RAG and staged/multi-step prompting; the LLM is constrained, never free-running.
≈ 60 min
Structured technical interview (recorded)
2–5 business days
Screen-to-shortlist (role-dependent)
100% of flags reviewed
Expert-in-the-loop governance
Language-fairness calibration
Applied on every evaluation
Data handling, privacy & integrity
We never publish candidate identities. Integrity checks flag near-verbatim web phrasing and sudden speech-pattern shifts for expert review.
Consent-based recording
Candidates are informed; recordings are used only for evaluation.
Encryption in transit & at rest
Standard modern TLS for transport; encrypted storage for media/transcripts.
Access control & audit
Least-privilege reviewer access; activity logs retained for audits.
Redaction & sharing
Public samples are redacted; customers receive secure links, not e-mail attachments.
FAQ
How are the “five checks” computed?
We run the transcript through semantic chunking in RAG and staged/multi-step prompting. Each chunk is scored on: technical correctness, sound mental model, practical method, communication clarity, effort & fluency. Scores are weighted by core vs secondary competencies.
What is language-fairness calibration?
Normalization that prevents non-native English phrasing (L2/ESL) from depressing scores. We evaluate conceptual fidelity—the quality of the idea—over accent or word choice.
Can the model free-run or hallucinate?
No. The LLM is governed: semantic chunking in RAG picks only the relevant blueprints/examples, and staged/multi-step prompts constrain outputs into a fixed rubric. Experts review any flags before they influence the roll-up.
Do questions change by role and level?
Yes. Every role gets its own competency blueprint and difficulty ramp. Core competencies are weighted more heavily than nice-to-haves.
Can you use our internal rubrics?
Yes. We can map your rubric to our five checks and trait profile, preserving your language and thresholds.
What do we actually receive?
A shortlist with rationale, a trait profile, targeted follow-up questions, and onboarding notes—plus a secure link to the time-coded transcript highlights.
Ready to see this on your next role?
We’ll map your role blueprint, run a recorded interview, and deliver a language-fair, expert-reviewed evaluation.