Seven specialist hires. 100% offer acceptance.
Arya.ai needed to add talent across data science, research, engineering and design without loosening the quality bar. Talhive closed seven roles with a 40-day average time to hire and 100% offer acceptance.
Discuss a specialist mandate →Build across AI, engineering and design at the same time.
Arya.ai was hiring across data science, research, full stack engineering and UI/UX design, with several roles requiring immediate attention. The mandate was to move quickly while holding a consistent hiring bar across very different specialist talent markets.
Seven hires, four disciplines, one standard.
Four disciplines.
Four different candidate markets.
A research scientist cannot be searched for in the same way as a full stack developer. A data scientist and a UI/UX designer are read through different evidence, sourced from different pools, and moved by different reasons. The challenge was not generating more candidates. It was running several specialist searches at once without turning any of them into a high volume funnel.
The broadest pool of the four and the easiest to misread. Applied modelling that survives contact with production looks very different on paper from analytics work carrying the same title.
A small market where the work itself is the signal. The problems chosen and the results published say more than the title, and the reason to move is rarely compensation.
Assessed on ownership rather than stack. In a small AI product team the same engineer carries the interface and the service behind it, so breadth has to be real rather than claimed.
Designers are read through the decisions behind the work rather than the polish of the portfolio. For an AI product the interesting question is how the interface handles uncertainty.
One hiring mandate. Separate search logic for every role.
Four searches ran in parallel, each with its own market and its own calibration, against one shared quality bar.
Role specific market mapping
Each discipline was treated as its own market rather than pushed through one generic technology sourcing funnel.
Evidence before presentation
Candidates were screened against the requirements of the role before they reached Arya.ai, which kept interview volume low and the conversations technical.
Parallel execution
Multiple searches ran at the same time while calibration stayed separate for AI, engineering and design profiles, so feedback on one did not distort the others.
Candidate engagement through close
Talhive stayed close to candidates through the decision and offer stage, which contributed to 100% offer acceptance across the engagement.
“Talhive helped us find the right talent that perfectly fit our needs in an incredibly short time frame. Their team demonstrated exceptional professionalism, efficiency, and an in-depth understanding of our requirements. I highly recommend Talhive to any organization seeking top-tier talent quickly and efficiently.”
Seven roles closed across four specialist disciplines.
Talhive completed seven hires across AI, engineering and design, at a 40-day average time to hire.
The signal worth reading is not the number of hires. Arya.ai hired across four distinctly different talent markets while the process stayed selective enough to produce one hire for every four candidates interviewed.
Specialist hiring gets weaker when every role is treated as “tech”.
AI research, data science, software engineering and design may sit inside the same organisation, but they do not share a talent market. The companies worth approaching are different, the evidence worth reading is different, and so is the reason a strong person picks up the phone.
The stronger approach is to keep one hiring standard and change the sourcing and assessment logic for each role. That is how Talhive runs specialist mandates across engineering, AI, product and design.
If you are hiring specialists in India
Hiring across AI and engineering?
Bring us the roles. We will tell you where the talent actually sits, how the searches should differ, and where the hiring bar needs to stay the same.