Lucky Hunter
About Agency
Your hiring is our product. We ensure hiring-market fit. And we care - Lucky Hunter is your brand advocate among the best people. We help ambitious tech companies scale through wildly successful hires. At Lucky Hunter, we know the hiring game - and we win it. We’ve placed 2000+ top-tier candidates across 30+ countries, with a strong focus on AI, Crypto, Fintech, and Deep Tech. Our 200K+ talent pool includes medalists, coding champions, and alumni of world-class tech companies - not job-hoppers. We act as your brand advocate in the global tech community and deliver recruitment as a scalable, product-driven solution. Once you work with Lucky Hunter, you won’t want to work with anyone else.
Expertise & Industry
Key Clients
Key Decision Makers
Portfolio3 Projects
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.
We refined the candidate profile together with the client, conducted targeted market research, and identified relevant “donor” companies to narrow the search. Our team used a combination of internal database, direct sourcing, and continuous feedback loops to quickly adjust the strategy and focus on the most relevant candidates. As a result, within 3 months we successfully closed multiple complex roles(including ML researchers and low-level engineers), ensuring strong alignment with client requirements and maintaining high speed and coordination throughout the process.
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.
We worked closely with the client to define and calibrate the role, conducted market analysis, and identified relevant “donor” companies based on open-source contributions and technical background. Using this data, we built a precise headhunting strategy and positioned the role to attract rare specialists. Throughout the process, we maintained continuous feedback loops and adjusted the search in real time. As a result, we successfully closed 3 low-level engineering roles within 3 months, screening 49 candidates and ensuring strong alignment with the client’s technical requirements.
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.
After initial interviews, we identified that the role was over-scoped and worked with the founder to split it into two positions: ML/LLM Engineer and Senior Fullstack Developer. We redesigned the hiring strategy, expanded the talent pool, and simplified the process to fast, two-step interviews with continuous feedback and real-time adjustments. As a result, we built a full startup team (4 hires) within 1 month, ensuring strong alignment with both technical and product requirements.
