AI developers who have already passed the bar we hold our own hires to
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.
Generative-AI & LLM engineers
People who have shipped RAG, fine-tuning, prompt and agent systems in production — not just run a tutorial notebook.
Applied ML & inference engineers
Training pipelines, model serving, and the latency and cost tuning that decides whether an AI feature survives contact with real traffic.
Pre-screened on InterviewGod
Every candidate clears a coding and technical screen before you meet them — the same screen Banao runs on its own engineering hires.
The engagement that fits
Direct hire onto your payroll, an engineer added to your team, or a full Banao-managed squad. You choose; we keep the bench full.
Our own AI products run on engineers from this pool
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.
Production AI and data work shipped by bench teams
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.
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.
We hire our own AI engineers this way
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.
Vikaas
Sources the AI engineers Banao hires for its own teams.
InterviewGod
Screens every one before a human panel spends a minute.
When this isn't the right way to hire
We would rather tell you to hire differently than place someone who will not fit.
One irreplaceable architect for a frontier problem
a targeted retained search may beat a bench. We'll say so.
Deep proprietary domain context
until it is written down, an in-house hire or staff augmentation will out-perform a fresh team.
No real AI work yet
if you need a feasibility call before a build, start with an AI Discovery Sprint, not a hire.
We scope the actual role and trial people before you commit to anyone.
Hiring Discovery Sprint
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.
Shortlist & paid trial
Interview-proven candidates, then a short paid trial on real work before any longer commitment — you see them ship on your stack first.
Hire & scale
The engineer joins under the model you chose, with one accountable contact at Banao. Scale the team as the roadmap moves.
The questions buyers ask first.
How are these AI developers vetted?
Can they actually ship production AI, not just demos?
Direct hire or augmentation?
How fast can someone start?
Tell us the AI role you can't fill
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.
Book a hiring call →