Services

Precision placement for AI teams.

01
AI Engineers

AI Engineers

We place ML engineers who can take a project from proof-of-concept to production. Deep experience with model training, fine-tuning, inference optimization, and AI-native product features.

LLM Fine-tuningComputer VisionNLPInference OptimizationPyTorchJAX
02
Data Annotators

Data Annotators

High-quality labeled data is the foundation of every serious AI system. Expert annotators for RLHF, multimodal data, medical imaging, and domain-specific classification.

RLHFComputer VisionNLP AnnotationMedical ImagingAudio Labeling
03
MLOps Engineers

MLOps Engineers

The gap between a notebook and production is enormous. Our MLOps specialists design pipelines, manage infrastructure, and ensure models stay reliable at scale.

KubernetesKubeflowMLflowFeature StoresModel MonitoringAWS/GCP/Azure
04
Engineering Teams

Engineering Teams

For companies building AI products: complete teams — backend engineers who understand data pipelines, frontend engineers who can build AI-facing interfaces, and technical leads who hold it together.

PythonTypeScriptSystem DesignAPI ArchitectureAI Product Engineering

Process

01

Brief

We listen carefully to understand the actual need — not just the job description.

02

Source

We identify candidates from our curated network and targeted outreach.

03

Vet

Every candidate goes through a deep technical and cultural evaluation.

04

Present

A small shortlist — typically 3–5 people — with full context.

05

Place

We support the closing process and stay engaged through onboarding.

Tell us what role you're trying to fill.

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