Vikaas · Hire AI developers
Hiring AI and generative-AI engineers is slow because most applicants cannot do the work and the few who can are gone in days. Vikaas gives you engineers from the same pool Banao staffs its own product teams from — already through a real technical screen.
You interview people who can ship RAG systems, fine-tuned models, inference pipelines, and agent workflows — not candidates padding a résumé with course certificates.
Banao — builds its own AI products with engineers sourced and screened through this exact pipeline.
Not a résumé forwarding service. A pool of AI engineers who have built and shipped, screened to the same bar as Banao's own hires.
People who have shipped RAG, fine-tuning, prompt and agent systems in production — not just run a tutorial notebook.
Training pipelines, model serving, and the latency and cost tuning that decides whether an AI feature survives contact with real traffic.
Every candidate clears a coding and technical screen before you meet them — the same screen Banao runs on its own engineering hires.
Direct hire onto your payroll, an engineer added to your team, or a full Banao-managed squad. You choose; we keep the bench full.
Metrics shown dotted (··) are being finalised in our case-study metrics pack. The work is real; we will not publish a number before it is verified.
Banao (internal)
Banao builds and operates its own AI products with engineers sourced through Vikaas and screened through InterviewGod. The people you hire are the people we trust our own roadmap to.
PhonePe · Times Internet
Banao has delivered production engineering for names like PhonePe and Times Internet with teams assembled from its own bench — the same supply chain you draw on here.
Banao runs a ~300-person engineering company. The AI engineers on our own product teams came through Vikaas sourcing and an InterviewGod screen before a panel met them — we live with the quality of this pipeline every day.
A staffing firm reselling résumés has never had to ship on the people it sends you. We have, every week. That is why the bar you inherit is the one our own products depend on.
We would rather tell you to hire differently than place someone who will not fit.
We scope the actual role and trial people before you commit to anyone.
We define the role, level, and the AI skills it genuinely needs, then set shortlist criteria. You keep the plan even if you hire elsewhere.
Interview-proven candidates, then a short paid trial on real work before any longer commitment — you see them ship on your stack first.
The engineer joins under the model you chose, with one accountable contact at Banao. Scale the team as the roadmap moves.
How are these AI developers vetted?
Every candidate clears a coding and technical screen on InterviewGod — the same screen Banao runs on its own engineering hires — before you meet them. You interview people who have already cleared a real bar, not a stack of unfiltered CVs.
Can they actually ship production AI, not just demos?
That is the screen. We look for people who have shipped RAG systems, fine-tuned models, and inference pipelines that survived real traffic — not notebook experiments. Banao staffs its own AI products from this pool, so the bar is set by what our own roadmap needs.
Direct hire or augmentation?
Either. We place AI engineers onto your payroll, add them to your existing team under your management, or stand up a Banao-managed squad. The Hiring Discovery Sprint picks the model that fits your case.
How fast can someone start?
Because the bench is pre-screened, a typical path is a one-week scoping Sprint, a shortlist within days, a short paid trial, then start — working engineers in weeks, not the months a fresh search usually takes.
Bring the seat that has stayed open. In 30 minutes we'll tell you how fast the bench can fill it and on what terms.
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