### ML Researchers with Niche Expertise: Where We Searched and How We Found 3 Experts for 42

Client needed to hire highly specialized ML researchers with rare expertise (LLM + finance domain), where the talent pool is extremely limited and candidates are highly competitive. The challenge was not just sourcing ML engineers, but identifying researchers with a very specific combination of skills and experience, while competing with top-tier companies for the same profiles.

### From a Single Founding Engineer to a Whole Team: How We Built a Team for Agentplace

The client, an early-stage AI startup, needed to hire a Founding Engineer with a rare combination of fullstack development and deep LLM expertise. The challenge was an extremely limited talent pool and unclear initial requirements, as combining strong engineering skills with advanced LLM knowledge proved unrealistic for a single role.

### Rare Talent: How We Secured 3 Low-Level Engineers for 42

The client needed to hire low-level engineers (C++ / MLIR) for critical ML infrastructure, a role that did not previously exist in the company. The challenge included full profile ambiguity at the start and an extremely limited global talent pool, requiring a highly targeted approach rather than traditional sourcing.

By: Sergey

Lucky Hunter helped us close several highly specialized roles that were difficult to fill through traditional channels. They quickly understood the requirements, challenged our initial assumptions, and refined the hiring strategy. The team was proactive, responsive, and consistently delivered relevant candidates instead of volume. Their services are on the premium side, and at first we considered more cost-effective options. However, other agencies were not able to deliver comparable results for these roles. In the end, the quality of hires fully justified the investment.