AI talent is everywhere.
The right AI talent isn’t.
Every company wants AI engineers. Very few know how to find ones with the right domain expertise, verify they can actually deliver, and make sure they’ll stay. Whether you’re a startup shipping your first model, an IT services firm staffing client engagements, or an enterprise modernising at scale — we solve that.
AI + Domain Expertise
We match AI skills to your industry context — not just stack keywords.
First Profiles in 48 Hours
Qualified, interviewed, technically assessed candidates.
Founder-Led Vetting
We’ve built AI companies. We evaluate like co-founders, not recruiters.
Why hiring AI talent
keeps failing
The AI talent market is broken in different ways for different buyers. But the root cause is the same.
Skills Without Domain Context
Plenty of people list PyTorch on their CV. Very few can apply it to your specific domain — whether that’s fintech fraud detection, clinical NLP, telecom network optimisation, or mining predictive maintenance. Without domain context, AI hires ship demos, not products.
Recruiters Can’t Evaluate AI
Traditional staffing firms match resumes to keywords. They can’t tell the difference between someone who completed a Kaggle competition and someone who shipped an LLM system to production. For IT services delivery leads and enterprise CIOs alike, that gap is expensive.
Misalignment Kills Retention
The most expensive AI hire isn’t a bad one — it’s a misaligned one. Someone technically strong who doesn’t actually want this role, or whose career goals don’t match the engagement. They leave in six months and you’re back to square one, mid-project.
Built for how you
actually hire AI talent
Different buyers, different pain points. One shared need: AI talent that’s technically verified, domain-relevant, and ready to deliver.
Ship faster with the right AI team
You’re building AI-native products or adding AI to an existing platform. You need engineers who can go from research to production — fast — without the FAANG salary arms race.
- ✓Senior ML/AI ICs and first technical hires
- ✓LLM engineers, applied scientists, AI architects
- ✓Contract-to-hire flexibility for runway-conscious teams
Staff AI engagements your bench can’t
Your clients are demanding AI and GenAI capabilities. Your bench is full of strong engineers who weren’t trained for ML workloads. You need production-ready AI talent to staff client projects — without the bench cost.
- ✓Contract AI engineers for client engagements
- ✓Pre-vetted for production depth, not just certifications
- ✓No bench cost — deploy directly on active projects
AI transformation without the talent bottleneck
Banking, insurance, telecom, mining — you’re modernising at scale but the local AI talent pool is thin and internal hiring takes months. You need a partner who understands both the technology and the risk tolerance.
- ✓ML engineers with regulated-industry experience
- ✓AI leadership: Heads of AI, Chief AI Officers
- ✓Global sourcing for markets with limited local supply
We don’t send resumes.
We send the right person.
Understand the Real Goal
We talk to the hiring manager — not just about the job spec, but about what they’re actually trying to accomplish. What does success look like? What’s the team dynamic? Whether it’s a client delivery engagement, a product build, or an enterprise transformation — the job description is the starting point, not the answer.
Source AI + Domain Expertise
We don’t just search for “ML engineer.” We search for someone who can build recommendation systems for e-commerce, deploy NLP pipelines in healthcare, architect RAG systems for enterprise, or build predictive maintenance models for industrial operations. The domain match is what separates a hire from a mis-hire.
Interview Every Candidate Personally
We speak to every candidate. We assess technical depth, career expectations, and motivation. A candidate who’s overqualified and bored will leave in six months. A candidate whose career goals don’t align will never perform. We screen for fit, not just skill.
Run Technical Assessments
We don’t outsource evaluation. Our founding team has built AI products, scaled engineering organisations, and shipped production systems. We assess system design, code quality, and problem-solving judgment the way a senior engineering leader would — because we are.
Verify Career + Role Alignment
Before we present anyone, we confirm the candidate is genuinely motivated for the role and it fits their career trajectory. Happy candidates stay longer, ramp faster, and deliver more. Forced placements don’t.
Present the Right Person
You get a shortlist — not a stack of resumes. Every candidate has been interviewed, assessed, and matched against your actual goals. We stand behind every placement because we’ve done the work to get it right.
The modern AI stack,
covered end-to-end
From applied ML to LLM infrastructure to AI leadership — we place the roles that actually ship AI products.
Applied AI / ML
- ML Engineers
- Applied AI Scientists
- Computer Vision Engineers
- NLP / LLM Engineers
- Recommendation Systems
AI Infrastructure
- MLOps Engineers
- AI Platform Engineers
- Data Engineers (AI)
- LLM Infrastructure
- Vector DB / RAG Systems
AI Product & Design
- AI Product Managers
- Prompt Engineers
- AI Solutions Architects
- Technical Program Managers
- AI UX Designers
AI Leadership
- Head of AI / ML
- VP of Engineering (AI)
- Chief AI Officer
- AI Research Directors
- Engineering Directors
Why companies choose us
over every other firm
We’ve Built AI Companies
Our founding team has built and shipped AI products in healthcare, enterprise software, and automation. We evaluate AI talent the way technical co-founders do — because we are.
Domain Match, Not Keyword Match
An ML engineer who built fraud detection for fintech isn’t the same as one who built claims automation for insurance. We match the domain context, not just the technology stack.
Career Alignment = Retention
We verify that every candidate genuinely wants this role and it fits their career path. That’s how you avoid the six-month resignation cycle that plagues AI hiring across startups, IT services, and enterprise alike.
Not Recruiters.
Technical Operators.
We don’t screen resumes for keywords. We assess whether someone can actually build great AI systems in your specific context — whether that’s a client delivery engagement, a product build, or an enterprise transformation.
AI talent where you need it
Three markets, three buyer profiles. Our multi-market presence enables optimised cost, quality, and timezone strategies tailored to how you hire.
United States
Senior AI engineers, ML leads, and AI executives for tech startups and enterprises building or scaling AI-native products. For teams that need talent on-site or US-timezone-aligned.
India
Production-ready AI and ML engineers for IT services firms staffing client engagements. Pre-vetted contract talent that deploys directly — no bench cost, no training ramp.
South Africa
AI talent for large enterprises in banking, insurance, telecom, and mining — industries modernising at scale where the local AI talent pool is extremely thin.
Stop interviewing the
wrong AI candidates.
Tell us what you’re building, staffing, or transforming. We’ll come back with candidates who can actually do it.
Start a Conversation →