Five ranked AI engineers.Delivered in 48 hours.
For Series A/B AI startups in London, Amsterdam, and Berlin. Every engineer in our pool is sourced, profiled, and referenced by past colleagues, before your role even exists.
Priya N.
Senior LLM Infrastructure Engineer · 6 years experience
Currently in closed pilot with Series A AI startups in London and Amsterdam. Every engineer in our pool is sourced, profiled, and referenced before any role exists. If the shortlist isn't right, we send another at no charge.
The AI hiring problem is evaluation, not sourcing.
A CTO hiring an AI engineer spends 4–6 hours a week screening CVs, running discovery calls, and debriefing panels. For 6+ weeks. Your roadmap waits.
LinkedIn gives you volume. The bottleneck is evaluation: working out which of the 40 people who say 'LLM engineer' have actually shipped inference infrastructure vs. run a notebook demo.
You paid an agency €25k. They had no way to verify RAG pipeline depth, LLM serving experience, or whether references would hold. You found out three months later.*
* Based on industry-reported AI engineering hire failure rates within 90 days.
A ranked shortlist. Full reasoning included.
Lynestar isn't a search tool. It's the evaluation layer that's been missing from AI hiring. Every AI engineer in our pool was sourced, profiled, and referenced before your role exists, scored across stack depth in ML/LLM tooling, domain experience, seniority, availability, and reference quality.
You see the full match breakdown before you ever talk to anyone. Auditable reasoning behind every ranking. No black box. No agency middleman.
What goes into a 97.6% match.
Every match score is a weighted composite of five auditable categories. You see the breakdown for every candidate, not just the final number. Every shortlist is reviewed before it reaches you.
How closely the engineer's primary languages, frameworks, and tooling match your spec.
Years of experience, scope of ownership, and indicators of independent technical judgment.
Prior work in AI-native companies: LLM product companies, AI infrastructure, agentic systems, generative AI, applied ML.
Current availability window and preferred engagement type (full-time vs contract).
Signal from past colleagues and managers, weighted by relationship closeness.
Four steps from spec to offer.
Submit your role
Tell us the AI engineering role you need: LLM Engineer, AI Platform Engineer, Applied AI Engineer, RAG Engineer, Agentic AI Engineer. No sales call required.
We match against a pre-vetted pool
Every AI engineer in our pool was sourced, profiled, and referenced by past colleagues before your role existed. No scraping, no cold outreach to strangers.
Five ranked profiles in 48 hours
Anonymized. Each comes with a full match breakdown: stack depth in ML/LLM tooling, domain experience, reference signal, and confirmed availability.
Unlock for €3,000
No placement fee. No subscription. If none of the five AI engineers fit, your second shortlist is free.
How it stacks up against your current tools.
| Criteria | LinkedIn + Outreach | Recruiter Agency | Lynestar |
|---|---|---|---|
| Time to shortlist | 4–6 weeks | 2–4 weeks | 48 hours |
| Pre-vetted candidates | No | Varies | Always |
| Transparent match reasoning | No | No | Full breakdown |
| Cost model | Staff time | 20–25% salary | €3,000 per shortlist · no placement fee |
| AI-specialist pool | No filter | No guarantee | AI engineers only |
| No agency middleman | ✓ | ✗ | ✓ |
Submit a role.
Tell us the AI engineering role you need. We match against our pre-vetted pool and deliver five ranked profiles in 48 hours.