AI & Machine Learning

The search firm that knows
what an AI hire actually does.

AI recruitment isn't harder than other technical hiring because the roles are complicated. It's harder because the bar moves every six months, the language is specialized, and the best candidates aren't on job boards. That's what we're built for.

The full stack

We recruit at every layer of AI.

Over the years, we've lived the shift from Cloud to NeoCloud first-hand. We've watched talent, capital, and investor appetite reshape every layer of the stack — applications, models, infrastructure, chips, and the energy underneath it all.

There's no single playbook. What we bring is sharp, hard-won know-how at each layer — and the network to match.

AI stack layer hiring
The roles we run

Recent placements that signal
the depth of our work.

These are the searches we run — and what each one tells us about the company commissioning it.

Role archetypeWhat it signalsWhere we place them
ML

Machine Learning Engineer

A company actively shipping models to production — scale and reliability matter as much as research quality. The most in-demand AI engineering hire across APAC right now.

AI-native product companies · Scaling tech platforms · Enterprise AI teams from Series B onwards

LLM

Applied AI Engineer

A business moving from AI proof-of-concept to production — engineering the application layer, not the model. High demand as enterprises across APAC operationalize their AI strategies.

Enterprise AI teams · SaaS platforms embedding AI features · Professional services firms with AI practices

AI PM

AI Product Manager

A company moving AI from prototype to roadmap — someone who owns prompt orchestration, RAG pipelines, and agent frameworks, and can translate model capability into shippable product outcomes.

AI-native product companies · Enterprise teams operationalizing AI · Scaling platforms building AI-first roadmaps from Series B onwards

MLOps

AI Infrastructure Engineer

A company at serious AI scale — GPU demand is outpacing infrastructure, inference costs are climbing, and model deployment is a bottleneck. The hire that turns compute investment into production throughput.

AI-native Series C+ scaleups · Enterprise AI teams · AI Model companies · NeoCloud · Hyperscalers

AIGC

AIGC Algorithm Engineer

A company productizing generative AI at scale — image, video, voice, or multimodal. Often APAC-headquartered with global distribution ambitions.

APAC GenAI product companies · Multimodal AI scaleups · AI-native platforms Series B and above

Sales

Enterprise AI Sales

A company with a production-ready AI product entering market — transitioning from founder-led sales to a repeatable revenue motion. In APAC, this role surges as US and Chinese AI companies use Singapore as their regional beachhead for market expansion.

AI-native Series B+ companies entering APAC · US and Chinese AI companies with Singapore regional operations ·Enterprise AI SaaS platforms scaling commercial teams

MLrole

Machine Learning Engineer

what it signals

A company actively shipping models to production — scale and reliability matter as much as research quality. The most in-demand AI engineering hire across APAC right now.

Where we place them

AI-native product companies · Scaling tech platforms · Enterprise AI teams from Series B onwards

LLMrole

Applied AI Engineer

what it signals

A business moving from AI proof-of-concept to production — engineering the application layer, not the model. High demand as enterprises across APAC operationalize their AI strategies.

Where we place them

Enterprise AI teams · SaaS platforms embedding AI features · Professional services firms with AI practices

AI PMrole

AI Product Manager

what it signals

A company moving AI from prototype to roadmap — someone who owns prompt orchestration, RAG pipelines, and agent frameworks, and can translate model capability into shippable product outcomes.

Where we place them

AI-native product companies · Enterprise teams operationalizing AI · Scaling platforms building AI-first roadmaps from Series B onwards

MLrole

AI Infrastructure Engineer

what it signals

A company at serious AI scale — GPU demand is outpacing infrastructure, inference costs are climbing, and model deployment is a bottleneck. The hire that turns compute investment into production throughput.

Where we place them

AI-native Series C+ scaleups · Enterprise AI teams · AI Model companies · NeoCloud · Hyperscalers

AIGCrole

AIGC Algorithm Engineer

what it signals

A company productizing generative AI at scale — image, video, voice, or multimodal. Often APAC-headquartered with global distribution ambitions.

Where we place them

APAC GenAI product companies · Multimodal AI scaleups · AI-native platforms Series B and above

Salesrole

Enterprise AI Sales

what it signals

A company with a production-ready AI product entering market — transitioning from founder-led sales to a repeatable revenue motion. In APAC, this role surges as US and Chinese AI companies use Singapore as their regional beachhead for market expansion.

Where we place them

AI-native Series B+ companies entering APAC · US and Chinese AI companies with Singapore regional operations ·Enterprise AI SaaS platforms scaling commercial teams

Why specialization matters

AI hiring is different.
It needs a different firm.

We know the literature

Technical credibility that changes the conversation.

Candidates don't trust recruiters who can't describe the work. We can discuss transformer architectures, RLHF, inference optimization, and what the difference between a 7B and 70B parameter model means for a given org's infrastructure. That credibility gets us into conversations generalists can't access.

We know the bar

A calibrated read on what "great" looks like across the market.

We've placed across the full range — frontier labs, enterprise R&D, pre-seed and pre-IPO startups. That means we know what "senior" means at each type of org, and can benchmark candidates honestly rather than optimistically. Clients get accurate market intelligence, not just a warm introduction.

Start a search

Tell us the role. We'll tell you what the market looks like.

What the hire is worth, whether the brief is realistic, and whether we've placed someone in this exact seat before. One call. No obligation.

Book a scoping call →