Who We Place
Technical Excellence,
AI-Native by Default
Every person we place has been through a rigorous technical vetting process and is actively working with AI tools as part of their daily workflow — not as a buzzword, but as a genuine force multiplier.
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AI Engineers & Architects
Specialists in LLM integration, prompt engineering, RAG systems, vector databases, and AI infrastructure — builders who've shipped production AI systems and understand the real-world constraints involved.
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Data Scientists
End-to-end data professionals who move from raw data to production models — with expertise in ML pipelines, feature engineering, model evaluation, and the stakeholder communication that makes insights actionable.
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Full-Stack Developers
Senior engineers across the modern stack — React, Next.js, Node, Python, cloud infrastructure — who write clean, tested, documented code and treat AI tooling as a natural extension of their toolkit.
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Product Managers
Technical PMs who bridge business strategy and engineering reality — with experience shipping AI-powered products, running data-driven roadmaps, and communicating with both C-suite and developers in their own language.
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Rigorous Vetting
Every candidate completes technical assessments, system design interviews, communication evaluations, and reference checks — so you receive a shortlist of genuinely qualified people, not a pile of CVs to sort through.
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Flexible Engagement Models
Full-time embedding, part-time augmentation, or project-based sprint teams — structured around how you actually work, with the contract flexibility to scale up, scale down, or adjust as your needs evolve.