Hire AI Engineers in India
Most AI resumes list the same tools. HyrEzy finds the AI Engineers who have shipped LLM systems to real users, measured their quality and kept their cost under control, and shows you the evidence before you interview.
Which AI Engineer do you need?
The title covers three different jobs. Integration engineers build product features on hosted model APIs. Retrieval and evaluation engineers own the quality, latency and cost of an LLM system in production. Model engineers fine-tune, distil or serve models on your own infrastructure.
Each pulls from a different pool at a different price. HyrEzy starts every AI mandate by pinning down which one you need, so the shortlist is built for the actual job rather than the title.
What separates strong candidates
- An LLM feature or system with real users, described with outcomes: accuracy, latency, cost or adoption.
- Evaluation work: test sets, metrics, or regression checks for model and prompt changes.
- Retrieval depth: chunking, embeddings, re-ranking, and knowing when retrieval is the actual problem.
- Strong software engineering underneath: APIs, testing, observability.
- Public work where available, such as GitHub repositories with real commits.
What to test in interviews
- How would you measure whether this system is getting better or worse?
- The model gives confident wrong answers in a small share of cases. What do you do?
- Latency doubled after a model upgrade. Walk through the investigation.
- When would you not use an LLM for this feature?
Common hiring mistakes
- Screening on framework names (LangChain, LlamaIndex) that appear on almost every AI resume.
- Paying retrieval-specialist rates for API integration work, or the reverse.
- Long interview loops: strong AI engineers usually hold several offers.
How HyrEzy evaluates AI Engineers
Four layers before a candidate reaches your inbox. Zero retainer; you pay only on a successful hire, with a 90-day replacement guarantee.
Vantage Intelligence score
Every candidate is scored against your JD across 19 dimensions, with skills backed by project evidence separated from skills that are only claimed.
Recruiter validation
A recruiter with product-company hiring experience speaks to each shortlisted candidate about motivation, ownership, notice period and fit.
CV evaluation
A role-specific rubric with evidence cited from the resume, and red flags called out for your panel to probe.
Structured AI video interview
An adaptive, asynchronous interview with a full report, before you spend your own interview time.
Open AI Engineers roles HyrEzy is hiring for
Live from our current mandates.
Loading open roles…
Frequently asked questions
How long does it take to hire an AI Engineer in India?
With a clear brief and pre-evaluated candidates, interviews can finish within two weeks. The notice period, often 60–90 days, usually decides the joining date.
What does it cost to hire an AI Engineer through HyrEzy?
HyrEzy works on success fees with zero retainer: 8.33% of annual CTC for 0–3 years of experience, 10–12% for 3–10 years, and 16% and above for senior roles, with a 90-day replacement guarantee.
Can HyrEzy hire AI Engineers for remote roles?
Yes. Many strong AI engineers are open to remote roles, and opening a role to remote candidates often shortens the search considerably.
Other roles we hire for
ML EngineersData ScientistsData EngineersBackend EngineersFull-stack DevelopersDevOps & SRE EngineersProduct ManagersFrontend EngineersMobile EngineersQA & SDET EngineersEngineering ManagersData AnalystsUI/UX DesignersEnterprise SalesMarketingCustomer SuccessHR & TalentCXO & Leadership
Hiring AI Engineers?
Share the role and get candidates scored against your JD, validated by a recruiter.