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Technical Screens.
Decoded.

HireLingo AI gives recruiters real-time fluency during technical screens — translating complex engineering talk into plain English so you can confidently identify real skill and filter out buzzwords.

Try HireLingo free → See it in action

Built for recruiting agencies placing AI, ML & engineering talent

The real cost

You're not losing candidates. You're losing confidence.

Your recruiters are excellent at reading people. But when a candidate starts speaking in technical jargon, the recruiter goes quiet — writing "strong AI experience" while the real signal flies over their head. That's not a skills problem. It's a language problem.

$50-60K

Average placement fee on a senior AI role. Every bad passthrough puts the next one at risk.

80%

Of generalist agencies now receiving AI/ML reqs they weren't built for.

2 of 10

Recruiters at a typical firm who can credibly screen AI candidates today.

Buzzword artists pass through

Weak candidates who rehearse the right keywords sound identical to strong ones — when you don't know what follow-up to ask.

Strong candidates get filtered out

Great engineers who explain things plainly — without buzzwords — get scored lower because the substance went unrecognized.

Scorecards are vibes, not signal

"Candidate seemed knowledgeable, recommend advancing." That's not a scorecard. That's a guess. Hiring managers notice.

Client trust erodes quietly

They won't tell you the pass-throughs are getting worse. They'll just start sending reqs to the specialist firm down the street.

See the difference

What your recruiter sees — instantly

While the candidate talks, HireLingo decodes the jargon and tells your recruiter exactly what to ask next.

Live screen — Senior ML Engineer
Candidate
"At my last role I built a RAG pipeline with hybrid retrieval — we used BM25 for keyword matching and dense embeddings with HNSW indexing. Reduced hallucinations by 40% and our support team actually started trusting the answers."
💡 HireLingo
They built a system that lets AI answer questions by searching through real company documents instead of making things up — using two different search methods for accuracy. Cut wrong answers by 40%. Specific result, they owned it.
Ask next
"That 40% improvement is impressive — how did you measure that, and how long did the project take from start to finish?"
Strong — specific metrics, clear ownership
Live screen — AI Platform Engineer
Candidate
"Yeah, we were doing a lot of LLM stuff — fine-tuning and prompt engineering and working with vector databases. The team was doing really cool things with agentic workflows."
💡 HireLingo
They listed AI buzzwords but didn't say what they personally built or what the results were. "The team was doing cool things" — that's not their contribution. This is vague.
Ask next
"Sounds like a lot going on — can you pick one of those projects and walk me through what you specifically built versus what the rest of the team handled?"
Weak — no specifics, "the team" not "I"
Live screen — ML Engineer
Candidate
"I have extensive experience with transformer architectures — I've been doing this for about five years now, really since the beginning of the whole LLM revolution."
🚩 HireLingo
They claim 5 years with transformers, but their resume shows they joined their first AI-related role 18 months ago. The LLM wave started in late 2022. The timeline doesn't add up.
Ask next
"Five years is a long time in this space — can you tell me about your earliest project working with transformers and where that was?"
Red flag — timeline contradicts resume
How it works

Three steps. Zero technical knowledge required.

01

Prep in 30 seconds

Paste the job description and candidate resume. HireLingo generates a plain-English briefing — what the role actually does, a jargon cheat sheet, and questions phrased the way a recruiter would naturally ask them.

Jargon glossary included
02

Screen with confidence

Join your call. HireLingo listens and translates in real time — one card at a time, big text, glanceable in two seconds. You see what they meant in plain English and exactly what to ask next.

Works with Google Meet
03

Send signal, not vibes

After the call, HireLingo generates a structured scorecard with evidence from the transcript — skill ratings, red flags, strengths, and a hiring manager brief. Copy and send in one click.

One-click copy
What you're really buying

You're not buying translation.
You're buying confidence in judgment.

Every person in the hiring chain hears something different. HireLingo makes sure they hear the truth.

Firm owners hear
Higher pass-through quality from every recruiter
Fewer embarrassing sends to hiring managers
AI reqs handled by your whole team, not just 2 specialists
Client retention that doesn't depend on one person's knowledge
Recruiters hear
I won't feel lost when they start talking about ML pipelines
I'll know what to ask next — every time
I'll catch the fakers before they waste the HM's time
My scorecards will actually mean something

Same call. Different outcome.

Without HireLingo

Recruiter hears:
"I worked on RAG pipelines with vector databases and embedding models"
Recruiter writes:
"Candidate has AI/ML experience. Seems knowledgeable. Recommend advancing."
Hiring manager thinks:
"This person can't explain what they built. Why did they pass the screen?"
What happens next:
Client starts sending AI reqs to the boutique firm across town.

With HireLingo

Recruiter sees instantly:
"They built a system that helps AI answer questions using real documents."
Recruiter asks:
"What was the hardest part of building that, and how did you solve it?"
Scorecard says:
"Demonstrated hands-on retrieval experience. Couldn't cite metrics. Probe depth in tech round."
What happens next:
HM gets useful signal. Right candidates advance. Placements close.
Who it's for

Built for agencies that refuse to lose AI reqs.

Your recruiters are great at reading people. HireLingo makes them great at reading the tech too.

🏢

Agency owners

You have 10 recruiters and 2 can screen AI roles. HireLingo unlocks the other 8 — without hiring expensive specialists or turning down $50K fees.

📞

Generalist recruiters

Five screens a day across ML, AI platform, and Applied Scientist roles. HireLingo translates the jargon so you can focus on what you do best — reading people and closing candidates.

📊

Firm leadership

Review every screen across your team. Structured scorecards, not scattered notes. See which recruiters need coaching and which candidates deserve a closer look.

Screen AI roles
fluently.

Turn technical jargon into confident hiring decisions — instantly.

Start screening now →

Free to try. No credit card required.