Karokan Talent
Embedded AI talent for labs that need to ship faster.
Karokan Talent helps research and product teams add execution-ready AI operators without rebuilding hiring from scratch. Bring in engineers, evaluators, and technical leads who can contribute inside your workflows from the start.
Across The European AI Ecosystem
What We Help You Solve
When the roadmap is clear but delivery capacity is not.
The execution gap
Direction is set, roadmap is written. What's missing is the execution bandwidth to move at the pace the work actually requires.
The wrong hiring funnel
Standard recruiting surfaces resumes. Not operators who have shipped models, evaluations, or agents in production environments.
The overhead problem
Adding external help shouldn't mean building a second management layer. Embedded contribution — inside your stack, your rhythm, your constraints.
How We Help You Deliver
Profiles shaped for labs, research teams, and AI product groups.
Applied AI Engineers
Builders who can ship LLM products, agent systems, orchestration layers, and backend surfaces tied to real KPIs.
Evaluation and Safety Specialists
Operators who structure benchmarks, human review loops, adversarial testing, and failure analysis around production risk.
Research-Product Generalists
Profiles comfortable translating research intent into deployable systems, operational tooling, and measurable workflows.
Technical Leads for Embedded Pods
Senior operators who can align scope, sequence execution, and keep a distributed pod shipping against a moving roadmap.
What Makes The Network Different
Built for results, not candidate volume.
AI-native, not AI-adjacent
The benchmark is not generic software pedigree. We prioritize people who have already worked through model constraints, evaluation loops, and delivery friction in AI environments.
Human review, not keyword matching
Selection is based on execution history, technical depth, and practical fit for embedded work — not resume volume.
Days to start, not quarters to hire
The goal is to close delivery gaps while your roadmap is still current, not after a traditional recruiting process has already slowed execution.
FAQs
Questions teams usually ask before they start.
What kind of profiles can Karokan Labs place?
The core focus is AI engineers, evaluation specialists, technical leads, and research-product operators who can work inside modern AI teams rather than around them.
How do these people work with an existing lab team?
They are meant to plug into your existing workflows, tools, sprint rituals, and review loops. The model is embedded execution, not detached outsourcing.
Can this start with one person and expand later?
Yes. Engagements can begin with a single high-leverage profile and expand into a staffed pod once the scope is clearer and the operating rhythm is in place.
What makes this different from a standard recruiting funnel?
The emphasis is on near-term execution readiness for AI workstreams. We are not optimizing for volume of candidates. We are optimizing for fit, speed, and shipping capacity.
Contact
Let's scope the team you actually need.
Skip the resume pile. Share the workstream, the pressure points, and the kind of operator you need. We will come back with the fastest credible path to staffing it.