Intelligent sourcing at scale

Search through 1B+ profiles in a single conversation. Stale data becomes a thing of the past.

CANDIDATE PACKAGE

AI/ML Engineers with LLM experience, 3-5 years, NYC

Talent pool : 25 candidates matching this criteria
01 Elena Rostova
Elena Rostova
Senior AI Engineer · TechFlow
1.3y relevant
1.3y relevant
02 Marcus Chen
Marcus Chen
Applied AI Engineer · DataCorp
2.8y relevant
2.8y relevant
03 Sarah Jenkins
Sarah Jenkins
AI Engineer · Innovate AI
2y relevant
Evaluation Generative AI Tools
2y relevant
04 David O'Connor
David O'Connor
LLM Ops Engineer · CloudSync
3.3y relevant
3.3y relevant
05 Aisha Patel
Aisha Patel
AI/ML Engineer · Principal FinTech
5.4y relevant
Large Language Model Operations (LLMOps) Prompt Engineering
5.4y relevant
✦ WHAT'S NEXT?

Adaptive searching

Recruiter-grade judgment with agentic execution

She generates new search angles, runs them in parallel, reviews the results, and corrects course automatically.

Company database

Company-aware search

Target by industry, funding stage, headcount growth, and competitors.

Mountain slope covered with trees next to a quiet lake, with mist and layered peaks in the distance.

Human-in-the-loop

Intentional and controlled

Select candidates manually, or delegate to Rose. Everything is intentional, leave nothing to chance.

Source 100× faster with your new sourcing engine

Rose does the heavy lifting — sourcing, outreach, and candidates experiences check — so you focus only on interviewing and closing.

Engage every candidate automatically

Personalized outreach at scale

Every candidate receives tailored messages, increasing response rates and filling your pipeline instantly.

Hit targets with ease More placements in less time

With a constant flow of ready-to-talk candidates, you reduce time-to-fill and outperform traditional recruiting workflows.

Intelligent sourcing at scale

Search through 1B+ profiles in a single conversation. Stale data becomes a thing of the past.

CANDIDATE PACKAGE

AI/ML Engineers with LLM experience, 3-5 years, NYC

Talent pool : 25 candidates matching this criteria
01 Elena Rostova
Elena Rostova
Senior AI Engineer · TechFlow
1.3y relevant
1.3y relevant
02 Marcus Chen
Marcus Chen
Applied AI Engineer · DataCorp
2.8y relevant
2.8y relevant
03 Sarah Jenkins
Sarah Jenkins
AI Engineer · Innovate AI
2y relevant
Evaluation Generative AI Tools
2y relevant
04 David O'Connor
David O'Connor
LLM Ops Engineer · CloudSync
3.3y relevant
3.3y relevant
05 Aisha Patel
Aisha Patel
AI/ML Engineer · Principal FinTech
5.4y relevant
Large Language Model Operations (LLMOps) Prompt Engineering
5.4y relevant
✦ WHAT'S NEXT?

Adaptive searching

Recruiter-grade judgment with agentic execution

She generates new search angles, runs them in parallel, reviews the results, and corrects course automatically.

Company database

Company-aware search

Target by industry, funding stage, headcount growth, and competitors.

Mountain slope covered with trees next to a quiet lake, with mist and layered peaks in the distance.

Human-in-the-loop

Intentional and controlled

Select candidates manually, or delegate to Rose. Everything is intentional, leave nothing to chance.

Source 100× faster with your new sourcing engine

Rose does the heavy lifting — sourcing, outreach, and candidates experiences check — so you focus only on interviewing and closing.

Engage every candidate automatically

Personalized outreach at scale

Every candidate receives tailored messages, increasing response rates and filling your pipeline instantly.

Hit targets with ease More placements in less time

With a constant flow of ready-to-talk candidates, you reduce time-to-fill and outperform traditional recruiting workflows.

Intelligent sourcing at scale

The AI-native code editor that gets it exactly right. No approximation. No bloat. Just perfect code, every time.

CANDIDATE PACKAGE

AI/ML Engineers with LLM experience, 3-5 years, NYC

Talent pool : 25 candidates matching this criteria
01 Elena Rostova
Elena Rostova
Senior AI Engineer · TechFlow
1.3y relevant
1.3y relevant
02 Marcus Chen
Marcus Chen
Applied AI Engineer · DataCorp
2.8y relevant
2.8y relevant
03 Sarah Jenkins
Sarah Jenkins
AI Engineer · Innovate AI
2y relevant
Evaluation Generative AI Tools
2y relevant
04 David O'Connor
David O'Connor
LLM Ops Engineer · CloudSync
3.3y relevant
3.3y relevant
05 Aisha Patel
Aisha Patel
AI/ML Engineer · Principal FinTech
5.4y relevant
Large Language Model Operations (LLMOps) Prompt Engineering
5.4y relevant
✦ WHAT'S NEXT?

Adaptive searching

Recruiter-grade judgment with agentic execution

She generates new search angles, runs them in parallel, reviews the results, and corrects course automatically.

Company database

Company-aware search

Target by industry, funding stage, headcount growth, and competitors.

Mountain slope covered with trees next to a quiet lake, with mist and layered peaks in the distance.

Human-in-the-loop

Intentional and controlled

Select candidates manually, or delegate to Rose. Everything is intentional, leave nothing to chance.

Source 100× faster with your new sourcing engine

Rose does the heavy lifting — sourcing, outreach, and candidates experiences check — so you focus only on interviewing and closing.

Engage every candidate automatically

Personalized outreach at scale

Every candidate receives tailored messages, increasing response rates and filling your pipeline instantly.

Hit targets with ease More placements in less time

With a constant flow of ready-to-talk candidates, you reduce time-to-fill and outperform traditional recruiting workflows.

Get in Touch

Let’s scale your hiring effortlessly

Let’s scale your hiring effortlessly

Let’s scale your hiring effortlessly

Turn your job specs into a pipeline of qualified, ready-to-talk
candidates — delivered automatically.

Turn your job specs into a pipeline of qualified, ready-to-talk candidates — delivered automatically.

Testimonials

Hear From Customers

Hear From Customers

Hear From Customers

What surprised me wasn’t the volume, it was the relevance. Every candidate actually matched the brief. It felt less like ‘sourcing’ and more like someone who understood what we were hiring for and why

Philippe de Liedekerke

CEO, iFREQ

Alex Sadoun

CEO, CareCall

Antoine Briard

Aptiskills