One critical hire
Hard-to-find specialist.
A single GenAI, agentic AI, ML, data or platform role where a wrong hire costs a quarter. Full validation flow, one shortlist.
Discuss a specialist hireIn brief
NeoIntelli's AI Talent services recruit and technically validate AI, ML, GenAI, agentic AI, data, MLOps, AI platform and AI leadership talent in India. Specialist recruiters source; the NeoHireX Hiring OS screens, ranks and runs first-round AI interviews; practicing AI and data engineers validate technical depth and production ownership. You receive a qualified shortlist with evaluation context and make the hiring decision. When one hire becomes a team, the engagement can grow into an AI Micro GCC or AI GCC.
Four ways to engage
From one critical hire to an AI capability center.
The validation flow is the same at every scale. What changes is how much of the operating environment NeoIntelli runs around the people.
Build an AI team
Multiple complementary roles.
The first AI squad: lead, engineers, data and platform roles calibrated against the architecture they will build, hired in the right sequence.
Plan an AI teamRun an AI Recruitment Hub
Dedicated recruiting capacity powered by NeoHireX.
A recruitment POD, NeoHireX Hiring OS and practitioner validation for 10 to 100+ technical hires.
Explore the AI Recruitment Hub + NeoHireXBuild an AI GCC
Recruitment expands into the complete India operating model.
When one hire becomes ten, the engagement becomes an AI Micro GCC: people operations, workspace, IT, infrastructure and governance around the team.
Start an AI Micro GCCWe interview. You hire.
Eight steps between a role and a decision.
This flow is the architecture behind every specialist page. Every candidate on a NeoIntelli shortlist has been through it.
STEP 01
Role calibration
Understand what this person actually has to build, own and operate, and at what seniority.
STEP 02
Specialist sourcing
Search the AI, data and platform talent pools relevant to the role, not a generic database.
STEP 03
NeoHireX screening
Role-calibrated screening and ranking on NeoIntelli's own Hiring OS.
STEP 04
AI first-round interview
Structured candidate evaluation before a human hour is spent.
STEP 05
Senior technical round
Practicing AI and data engineers assess technical depth against the role.
STEP 06
Expert validation
Validate ownership, architecture decisions and production experience behind the resume.
STEP 07
Qualified shortlist
You see evaluation context and evidence, not another stack of CVs.
STEP 08
You decide
Your team runs the final interviews and makes the hiring decision. NeoHireX never does.
Specialist hiring
One page per role family, because the evaluation differs.
A GenAI engineer, an MLOps engineer and a data scientist are assessed on different evidence. Each page explains what the role owns, the production signals we look for, the resume signals that mislead and how we evaluate.
- Specialist HiringAI & ML RecruitmentAI engineers, ML engineers, applied and deep learning, NLP, computer vision, research engineers, data scientists and AI solution architects.Explore AI & ML Recruitment
- Specialist HiringGenAI & Agentic AI HiringGenAI, LLM, RAG, agentic AI and AI application engineers and architects, assessed on production ownership rather than framework names.Explore GenAI & Agentic AI Hiring
- Specialist HiringData Engineering & Data Science HiringData engineers, analytics and platform engineers, streaming engineers, data architects, data and applied scientists, and AI data specialists.Explore Data Engineering & Data Science Hiring
- Specialist HiringMLOps & AI Platform HiringMLOps, ML and AI platform, AI infrastructure, LLMOps, AgentOps, GPU infrastructure and AI DevSecOps engineers for production AI.Explore MLOps & AI Platform Hiring
- LeadershipAI Leadership & Executive SearchChief AI Officer, Head of AI, VP AI and Data, AI engineering and platform directors, distinguished architects and GCC AI heads.Explore AI Leadership & Executive Search
- Scale HiringAI Recruitment Hub + NeoHireXA dedicated recruitment POD, NeoHireX Hiring OS and practitioner technical validation in one operating model for 10 to 100+ technical hires.Explore the AI Recruitment Hub + NeoHireX
- Build CapabilityAI Talent Academy & ReskillingConvert backend, data, DevOps, ML, QA and architecture engineers you already employ into validated AI capability.Explore AI Talent Academy & Reskilling
NeoHireX Hiring OS
Powered by our own Hiring OS. Validated by AI practitioners.
AI-powered recruitment is a claim anyone can make. What matters is what the platform does, what it records and what it is not allowed to decide.
What NeoHireX does
- Candidate management
- Role calibration
- AI screening
- Ranking
- AI first-round interview
- Pipeline management
- Audit trail and evaluation context
What NeoHireX does not do
It does not make the final hiring decision. Screening, ranking and first-round interviews narrow the pool and record evidence. Practicing engineers validate. Your team decides.
NeoHireX is NeoIntelli's proprietary AI hiring platform, included in applicable recruitment engagements. Visit NeoHireX or Book a NeoHireX demo.
Engagement models
Permanent, contract, hub or GCC.
| Model | What it is | Fits when |
|---|---|---|
| Permanent AI hiring | A specialist role or a team hired directly into your organization or GCC. | Most AI, ML, data, platform and leadership roles. |
| Contract and contract-to-hire | Specialist capability for a defined project or period, with conversion to permanent where wanted. | Evaluation builds, fixed-scope AI projects, capacity while a permanent search runs. |
| AI Recruitment Hub | A dedicated recruitment POD on NeoHireX with technical validation built in. | 10 to 100+ technical hires over a year. |
| AI Micro GCC | Hiring plus the operating model around the team, with a path to your own entity. | A first India AI squad you intend to keep and grow. |
Contract and contract-to-hire engagements run through Contract & Contract-to-Hire. Post-hire people operations for a GCC are covered under People & HR Operations.
The bridge
Hire the people. Build the operating environment around them.
Step 1
AI Talent
Hire technically validated specialists, one at a time or as a team.
Step 2
AI Micro GCC
Turn the first team into a dedicated India capability with people operations, workspace, IT and infrastructure.
Step 3
AI GCC
Scale into a capability center with AI engineering, AgentOps, governance and a path to ownership.
Buyer questions
Questions buyers ask before hiring AI talent in India.
What does an AI recruitment agency do?
It finds, evaluates and helps you hire people who build and operate AI systems: GenAI and agentic AI engineers, ML engineers, data engineers and scientists, MLOps and AI platform engineers and AI leaders. NeoIntelli adds practitioner-led technical validation so the shortlist carries evidence, not just resumes.
How do you identify candidates who have actually shipped production AI?
By asking about ownership rather than exposure: what they built, which part they owned, whether it left the prototype stage, how it was evaluated, deployed, monitored and paid for. Practicing engineers run that conversation, and NeoHireX records the evidence with the shortlist.
Framework names on a resume are a starting point, not proof. Each specialist page lists the resume signals that mislead for its roles.
What should an AI team hire first?
Usually the person who can define what the team owns: an AI engineering lead or Head of AI. Then the engineers closest to the first use case, then data and platform roles as the workload demands.
AI Leadership & Executive Search covers the leadership hire. AI GCC in India covers the operating environment around the team.
What does an AI GCC's first team look like?
Commonly an AI engineering lead, two to four AI or GenAI engineers, a data engineer and an MLOps or platform engineer, with product ownership from HQ. Composition depends on the mandate.
See AI GCC Setup & Operations for the team topology and the operating model around it.
Should we hire AI talent or reskill existing engineers?
Both, deliberately. Hire for the roles that need proven production AI ownership now, and convert adjacent engineers you already trust for the roles where domain knowledge and codebase familiarity matter more than AI tenure.
AI Talent Academy & Reskilling runs the conversion with the same technical validation used for external hires.
Permanent AI hiring vs contract AI talent?
Permanent for roles that own a system over time. Contract or contract-to-hire for fixed-scope work, evaluation builds or capacity while a permanent search runs. Both use the same validation flow.
Does NeoHireX make the hiring decision?
No. NeoHireX screens, ranks, runs first-round AI interviews and keeps the evaluation record. Practicing engineers validate. Your team runs the final interviews and decides.
Is NeoHireX a separate purchase?
For applicable NeoIntelli recruitment engagements it is included in the service, so you do not need a separate ATS subscription to run the NeoIntelli workflow. Where your own ATS must remain the system of record, the workflow is agreed during discovery.