We build AI.
So we know AI talent.
Viamagus builds AI products for enterprise clients. When we vet a candidate, we do it as engineers — the same way we'd hire for our own team.
10 specialist roles. 10+ vetted profiles ready in each. Data Scientists · AI/ML Engineers · ML Engineers · MLOps.
Recruiters send CVs. We send verdicts.
Most recruiters don't know what a GCC actually needs. We do — because we build AI for enterprise clients every day.
- ✕Matches on job title and years of experience
- ✕Sends 20 CVs — you do the filtering
- ✕Can't tell LLM from LMS
- ✕2–4 week turnaround minimum
- ✕Disappears after placement
- ✓Evaluates actual skill depth for your domain
- ✓3–5 shortlisted profiles with our written assessment
- ✓We build AI — we know what good looks like
- ✓48 hour response, pool ready before you ask
- ✓Stay involved through onboarding
Ten roles. Deep, not broad.
We hire for exactly ten roles — and keep 10+ pre-vetted profiles ready in each. An active bench, updated weekly; we match from it, not a cold search.
Pool is updated weekly. Submit a requirement and we match from this bench — not from a cold search.
And the full pod that takes AI from notebook to production.
We don't source AI talent. We forge it.
Our AI Factory takes engineers, designers and QA who already work with AI — and transforms them into AI-native builders. One person now ships what used to take a small team.
Three ways to engage.
12-month contractual engagement. Convert to your payroll in month 13 — no conversion fee.
How we find the right talent for you.
Industry context drives every decision — not just skills and years of experience.
We study your GCC
★ Our key differentiatorBefore you brief us, we already know your sector. We track hiring signals, job postings, and growth patterns across BFSI, Life Sciences, and Pharma GCCs. When you come to us, we're not starting from scratch.
We map the role to your industry context
A Data Scientist for a BFSI GCC needs different skills than one for Life Sciences. We evaluate against your specific domain — risk modelling, clinical NLP, fraud detection — not just job title.
We vet as practitioners, not recruiters
Viamagus builds AI products for enterprise clients. Our team evaluates candidates the same way we'd hire for our own projects.
We present a shortlist, not a longlist
You get 3–5 pre-evaluated candidates with a dossier. No sifting through 50 CVs. Typical turnaround: 48 hours.
We stay involved
Once placed, we stay on — as an augmented team, fractional leadership, or ongoing project delivery. If something isn't working, we fix it fast. The relationship doesn't end at placement.
Recent placements.
Real requirements, real timelines — a snapshot from the last few weeks.
Full-Stack, DevOps and QA Automation for Apty — five vetted profiles for each role, all shared within 48 hours.
Front-End Developer for Model N — 2 profiles shared in 48 hours; one placed inside the week.
Essential Lending — three vetted profiles in the first five days, three more in the next; sustained depth, not a one-off.
Teams you'd recognise.
We build and scale AI and digital systems across finance, logistics, life sciences, healthcare, supply chain, consumer electronics, agritech, edtech and startup products — for enterprises and scale-ups worldwide, including Fortune 500 teams at Nestlé, Coca-Cola and Titan.
Ready to see your talent pool?
Tell us which roles you are hiring for. We will show you pre-vetted candidates within 48 hours — no commitment, no cost for the initial pool.
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