Hire people building the future of AI.
Hire Hare helps Series A–C companies build AI teams by connecting them with rigorously vetted AI engineers, AI product leaders, and AI go-to-market specialists from India's rapidly growing AI ecosystem — evaluated on production experience and systems thinking, not resumes.
AI hiring is the hardest hiring problem a funded company will face this year.
Not a budget problem. A supply problem — demand for AI talent is growing far faster than qualified people can be found, screened, or trusted, and it's hitting Series A–C companies hardest because you're competing for the same small pool as companies ten times your size.
of employers report difficulty filling open roles; AI skills now rank as the hardest capability to find, ahead of general engineering.
Source: ManpowerGroup 2026 Talent Shortage Survey, 39,000 employers
growth in demand for AI/ML engineers since 2023, against qualified supply growing only 1.4× over the same period. That gap is exactly why India’s AI ecosystem — GCC alumni, frontier-lab adjacent engineers, a fast-growing trained pipeline — has become the deepest bench outside the US.
A Series A–C company building an AI team this way typically ends up paying a fraction of a comparable US hire — not because we're optimizing for "cheap," but because India's AI talent pool is simply deep and growing fast enough to give you real selection at a stage-appropriate budget.
Categories we hire for.
AI Engineering
LLM Engineers, GenAI Architects, AI Platform and Infrastructure Engineers who build and ship production AI systems — not prototypes.
Find AI Engineering talent →Agentic AI
Multi-agent systems, RAG, AgentOps and context engineering specialists — the fastest-growing hiring category as enterprises move AI from experimentation into production.
Find Agentic AI talent →Machine Learning
ML, deep learning, computer vision, NLP and applied research talent who take models from notebook to production.
Find Machine Learning talent →Data & AI Infrastructure
Data engineers, feature-store and knowledge-graph specialists, and RLHF/data-quality talent — the infrastructure layer every AI system depends on.
Find Data & AI Infrastructure talent →AI Product
AI Product Managers, Technical Program Managers and Solutions Consultants who translate AI capability into shipped product.
Find AI Product talent →AI Go-To-Market
Growth marketers, sales engineers, DevRel and customer success talent who can sell and support an AI product, not just a SaaS product.
Find AI GTM talent →We evaluate candidates on production experience, not resumes.
Unlike traditional recruiters, we specialize exclusively in AI hiring — evaluating every candidate on production experience, systems thinking, technical depth, and execution capability, not keyword matches.
AI is our only specialization — not a category inside a general staffing catalogue.
Every candidate is manually screened by practising AI engineers on production experience and systems thinking, not resume keywords.
Deep bench strength in LLMs, agentic AI, RAG, MCP, MLOps and production AI systems specifically.
Built for growth-stage velocity — placement-only, no payroll or bench overhead slowing you down, shortlists in days not weeks.
Every placement is warranty-backed, in writing.
Sourced from India's rapidly growing AI ecosystem — GCC alumni, frontier-lab adjacent engineers, and a growing trained pipeline, screened for execution capability, not just credentials.
Bigger isn’t the same as better here.
Staffing agencies sell you access to a pool and let you do the sorting. Our system does the sorting — and stands behind what it delivers.
Hire HareQuestions founders ask us.
Anything else — the role-scoping call is free, whether or not you hire us.
What does it cost?
Contingency is the default — no fee unless you hire. The fee is scoped to your mandate on the first call, not pulled from a generic rate card, and every quote includes the warranty for that role band. Engaged or retained search is available for senior and leadership mandates.
How fast will I see candidates?
Shortlists in days, not weeks. You receive three fully-vetted candidates — never a resume dump — each with a rubric score, verification report and compensation expectation attached.
What if the hire doesn't work out?
Every placement carries a 60–180 day replacement warranty by seniority, in writing. We stay engaged through the warranty period with day 7 / 30 / 90 check-ins, because the highest-risk moment for any placement is the first 90 days, not the interview.
How are candidates actually vetted?
A 9-stage system: market mapping, a human screen, a live technical screen with a practising AI engineer scored against a role-specific rubric, a paid scoped mini-project for mid and senior roles, and independent verification of employment, education and references — documented in writing before you see anyone.
Where does the talent come from?
India's rapidly growing AI ecosystem — GCC alumni, frontier-lab adjacent engineers, open-source and Kaggle contributors, and referrals from prior placements. Time-zone overlap and remote-work reality are confirmed at the screening stage, not assumed.
Do you handle payroll or contracts?
No — we're placement-only, with no payroll or bench overhead slowing you down. You hire directly; we source, vet, verify and close.
We're pre-Series A — can we still work with you?
Our focus is deliberately narrow: Series A–C companies building with AI. If that's not you, get in touch anyway — we'll tell you honestly whether we're the right fit.
Where AI teams begin.
Start with a free role-scoping call — a written spec and a real compensation benchmark, whether or not you hire us to fill it.
Hire AI Talent