“We can't find inference or GPU engineers.”
We source by evidence of the work — vLLM and CUDA contributions, research credits, talks — not job titles, then reach people through warm introductions.
8 in 10 people we place weren't job hunting. We find AI engineers, and the leaders who run their teams, by what they've built, and reach them through people they trust. Every one is AI voice-interviewed, coding-assessed and reviewed by an ex-Amazon recruiter before you meet them. First shortlist in 48 hours for most roles.
Almost every engineer is on LinkedIn. But a profile shows what people call themselves, not what they've built, and the best ones ignore cold InMails. So we find them through evidence of their work, then reach them through people they trust.
Real contributions to projects like vLLM, not keywords on a profile.
The engineers thanked in arXiv acknowledgments.
Conference speakers and the people answering hard questions.
Referrals, our network and the TalentDNA community, not cold InMails. That's why they reply.
Inference, AI systems, DBaaS and forward-deployed engineers, found through evidence, screened by AI voice interviews across time zones, then interviewed by people.
“Quietly rewrote a serving engine's batching logic.”
“Architected the DBaaS failover.”
Neither line appears in a job title. Both show up in the work.
One wrong tech hire costs a company 12 to 18 months. Most agencies send you a stack of CVs and leave the filtering to you. We send you people who have already passed the interview.
We screen 100 so you interview 5. The other 95 never reach your calendar.
From a locked brief to a ranked, interviewed shortlist.
Candidates you interview from us gets hired. No volume spam.
Of our candidates make it to your interview stage.
AI voice interviews are everywhere now. The difference is the bar behind the score: question banks built for AI infrastructure roles, calibrated by people who ran Amazon's toughest hiring loops, and a human review of every result. Answer one real question below, out loud.
Tell me about a time you had to slow your team down to go faster. What did you change, and what happened?
An AI interview tool starts when someone applies and ends with a score. We start before anyone applies, by finding engineers who aren't looking, and finish on the day they join.
8 in 10 people we place weren't job hunting. 1 in 3 you interview gets hired.
See the full process →“We can't find inference or GPU engineers.”
We source by evidence of the work — vLLM and CUDA contributions, research credits, talks — not job titles, then reach people through warm introductions.
“Agency CVs keep failing our tech round.”
Every candidate is AI voice-interviewed, coding-assessed and reviewed by an ex-Amazon recruiter before you ever see them.
“Candidates accept, then drop out before joining.”
We run the offer, counter-offer and notice period with you, then hand over a 90-day onboarding plan.
“We're setting up or scaling a GCC in India.”
Site leaders, the first ten hires and RPO desks that move at the pace your HQ expects, from Hyderabad and Bengaluru.
“We need a CTO or VP Engineering, quietly.”
Founder-led executive search with confidential outreach. No retainer: you pay when the leader joins.
“Hiring takes months and the team is exhausted.”
First shortlist in 48 hours for most roles, and an embedded RPO team when you need capacity, not headcount.
Salary bands, time-to-hire and where the talent sits for inference, GPU, forward-deployed and AI leadership roles. Built from 21 published sources, with every figure cited.
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“Their expertise and dedication to finding the right candidates have been outstanding. I highly recommend HiringEye to any company seeking exceptional leaders.”
“They don't just fill roles — they understand our business and bring us people who genuinely move the needle.”
“They kept us informed at every stage, with regular updates and feedback. That transparency made the entire experience smooth and stress-free.”
“I built HiringEye so every company can hire to the bar I learned at Amazon, without the retainer or the guesswork.”
HiringEye is an AI-first tech and leadership recruitment firm based at T-Hub, Hyderabad, with an office in Bengaluru. We find AI engineers and engineering leaders for VC-backed startups and global capability centres (GCCs) across India, and vet every candidate with an AI voice interview, a coding assessment and an expert review before clients meet them.
We look for evidence of the work rather than job titles: merged pull requests to projects like vLLM, research acknowledgments, conference talks and technical discussions. We then reach those engineers through referrals, our network and the TalentDNA community instead of cold InMails. About 80% of our placements were not actively job hunting.
For most engineering roles, the first ranked shortlist arrives within 48 hours of a locked brief. CTO and other C-suite searches take longer, with a progress update every week.
Executive and full-time searches are paid as a success fee, invoiced only when your hire joins, with no upfront retainer. Every placement carries a 90-day replacement guarantee. RPO engagements are a monthly fee scoped to your hiring volume. Candidates never pay.
Inference engineers, GPU and CUDA engineers, forward deployed engineers, AI and LLM engineers, AI architects, data engineers and data scientists, and engineering leadership: CTO, VP Engineering, Directors, Heads of AI and product leaders.
An AI interview tool only screens people who apply. HiringEye finds the engineers who never apply, interviews them with role-specific AI voice interviews built for AI infrastructure roles, adds an ex-Amazon expert review and stakes its fee on the hire.