Hire AI infrastructure engineers.
Permanent AI infrastructure hiring across GPU clusters, data center power and cooling, networking, and ML platforms.
Hiring AI infrastructure engineers permanently means competing for a small pool with strong incumbents. Mindpool India places full-time GPU cluster and ML platform engineers, data center thermal and critical power engineers, AI networking specialists, server hardware engineers, and infrastructure leaders across Indian hyperscalers, GPU clouds, and data center developers, screened on the scale they have actually built and operated.
Roles in this cluster
ML Infrastructure Engineer, GPU Cluster Engineer, MLOps and Inference Platform Engineer, Data Center Thermal Engineer, Critical Power Engineer, AI Network Engineer, Hardware Systems Engineer, Data Center Program Manager, and Head of AI Infrastructure.
- GPU cluster build-out, scheduling, and distributed-training infrastructure
- Inference platforms, serving, and low-latency networking
- Liquid cooling, critical power, and high-density rack design
- Data center construction, commissioning, and delivery at scale
What we screen for
Not framework keywords. We screen for the scale a candidate has actually operated at, what broke and how they fixed it, and whether their work reached production, the signals that predict success in a small AI infrastructure team.
Frequently asked
How long does it take to hire an AI infrastructure engineer?
Mindpool India typically produces a shortlist of permanent AI infrastructure candidates within days and closes offers in around three weeks, depending on seniority and location constraints.
What does an AI infrastructure engineer cost to hire in India?
Compensation varies sharply by market and level. We provide a written benchmark for your specific role and location as part of the brief intake, rather than quoting a national average.
Do you place data center engineers as well as ML platform engineers?
Yes. We place the full AI infrastructure stack permanently: ML platform and GPU cluster engineers, plus the thermal, power, networking, and construction specialists who build the data centers they run on.
How a Mindpool India search runs
Every engagement starts with a briefing call in which we pull apart the role rather than the job title: the problems the hire owns in their first two quarters, the systems and tooling they inherit, who they work alongside, and which parts of the specification are genuinely non-negotiable. That brief becomes the scorecard we screen against for this search, so shortlists are argued for on evidence instead of keyword overlap.
Sourcing is deliberately two-track. We approach specialists already known to our sector recruiters, and we run targeted, specialised outreach into the specific teams, programmes, and technologies where the relevant experience actually sits, including people who are not searching. Candidates are then interviewed by a recruiter who understands the domain, reference-checked on the claims that matter, and presented with a written rationale, compensation expectations, notice period, and location constraints already confirmed.
Permanent hiring only, what that means
Mindpool India is a permanent recruitment and executive search firm. Every placement is a full-time, direct-hire employee on your payroll, on your benefits, and inside your engineering culture. We do not provide contract, temporary, temp-to-hire, or contingent staffing, and we do not act as an employer of record. That single focus is why our process optimises for retention rather than time-to-fill alone.
- • Contingent permanent search, retained executive search, embedded RPO, or research-led talent mapping
- • Sector-specialist recruiters in AI infrastructure and ML platform, energy, and semiconductors
- • Roughly 21 days from brief to a signed offer on a typical search
- • 90-day retention guarantee on every permanent placement
- • India-wide coverage
Hiring managers can book a call or email a hiring brief and receive a calibrated shortlist with market context on availability and compensation before committing to a full search.