For hiring teams

Hire AI talent without wasting weeks on the wrong profiles.

HeadHunted AI helps Australian companies hire the engineers behind production-grade AI systems — from GenAI and agentic AI to ML engineering, MLOps, data platforms and applied AI leadership. We help you clarify the role, understand the market and reach candidates who are unlikely to apply through job ads.

Our network includes AI, ML and data professionals from companies such as

Sportsbet
Centurion Logistics
Neon AI
Forever New Clothing
Adairs Retail Group
Traits Insights
Medibank
Alderson Digital
Crown Resorts
Macquarie Group
Where AI hires go wrong

The mis-hires we help clients avoid

Three patterns we see again and again. The cost of getting any of them wrong is months, not weeks.

The talker

Fluent on the latest model, paper or framework, but light on production ownership. Strong interview, weak first 90 days.

01

The wrong shape

An ML Engineer hired into an AI application role, or a GenAI app builder hired for deeper ML engineering. Different skill sets, different hiring bar.

02

The POC engineer

Good at demos and API wrappers, but weak on retrieval, evaluation, infrastructure, monitoring and safe execution. Fine for a proof of concept. Risky for a system the business depends on.

03
What's in a shortlist

A shortlist should not be a CV dump.

A HeadHunted AI shortlist usually includes five candidates or fewer. Every CV should be worth reading.

Each candidate comes with context — not a stack of resumes thrown over the fence. The goal is that every shortlist save you days of screening, not add to it.

Brief us on a role
Relevant production experience
Technical strengths and gaps
Current motivation to move
Stakeholder comms style
Salary or rate expectations
Availability and notice period
Interview risk and known gaps
Pre-vetted references on request
Who we help

Five kinds of teams we run searches for

Different stages, different scale, same hiring standard.

Startups and scale-ups

For companies making early AI hires where one person may need to build, scope, influence and lead from zero.

Enterprise AI teams

For organisations moving from pilots to production AI across products, operations, customer experience or internal platforms.

Data and ML teams

For teams that need stronger engineering capability around model deployment, data pipelines, ML platforms and production ownership.

Consultancies and system integrators

For firms needing AI, data and MLOps contractors who can operate in client-facing delivery environments.

Research and product teams

For teams translating research, prototypes or experimental AI work into reliable products and systems.

Representative examples

Searches we have run recently

Anonymised cases from the last 12 months. Names withheld for confidentiality.

Case 01

Scaling ML engineering capability

Challenge

A technology team needed to grow beyond data science experimentation and hire engineers who had owned models in production.

What We Did

We helped clarify the profile, mapped the relevant market and shortlisted candidates with deployment, monitoring and stakeholder delivery experience.

Outcome

Team scaled with engineers who could ship and operate models, not just experiment. Each shortlist landed under five candidates.

Case 02

Hiring a founding AI engineer

Challenge

A growing company needed its first senior AI hire — someone hands-on enough to build, but commercially mature enough to guide product and technical direction.

What We Did

We helped separate GenAI application experience from deeper ML requirements and targeted candidates who had shipped real AI features in production.

Outcome

Hire made within the search window with a clear remit, role calibration agreed up-front and offer accepted without counter-offer drift.

Case 03

Building MLOps capability

Challenge

A data science function had models and experiments, but lacked the engineering layer to deploy and maintain them reliably.

What We Did

We sourced candidates with ML platform, CI/CD, cloud, observability and production workflow experience — not just data scientists with infra exposure.

Outcome

Engineering layer in place to deploy and operate models with confidence. Production support and release process owned by named engineers.

What people say

Trusted by AI professionals.

6,000+AI engineers in network
24hShortlist delivery
"I wholeheartedly recommend DK for his exceptional recruitment services! He played a pivotal role in helping me land my current role. DK demonstrated a keen eye for talent and took the time to explain the role in a way that resonated with me. His ability to move the interview process swiftly while ensuring I had all the necessary information was impressive."
Malan Evans
Malan Evans
ML/AI Engineer | Data Enthusiast | LLM Solution Developer
In their words

Every testimonial, unedited

From founders, hiring managers, engineers and data leaders we have worked with across Australia.

"I wholeheartedly recommend DK for his exceptional recruitment services! He played a pivotal role in helping me land my current role. DK demonstrated a keen eye for talent and took the time to explain the role in a way that resonated with me. His ability to move the interview process swiftly while ensuring I had all the necessary information was impressive."

Malan Evans
Malan Evans
ML/AI Engineer | Data Enthusiast | LLM Solution Developer

"Daniel is the most amazing recruiter I've ever worked with. He's incredibly professional and truly cares about both candidates and employers. Throughout the entire process, Daniel was always available to answer my questions and provide support. His attention to detail ensured that I found a position that leveraged my skills and aligned with my aspirations."

Priya Manoharan
Priya Manoharan
Data Analyst | Business Intelligence | Power BI Developer

"I'd highly recommend Daniel as a recruiter to any tech professional. His engineering background shows through his ability to describe his client's tech stack and requirements. As an engineer this gives me massive amounts of confidence in his ability to match me with potential employers."

Zachary Brown
Zachary Brown
Automation Engineer

"I had the pleasure of working with Daniel Kim, who provided exceptional assistance in crafting my resume for Power BI positions. His expertise and friendly nature made the entire process seamless and enjoyable. His deep understanding of the field makes him an invaluable resource."

Saurabh Pandit
Saurabh Pandit
Data Analyst | Reporting | Power BI | Data Analysis

"Daniel is very thorough and great at his job. Regardless how busy he is, he will always make time for you. Highly recommend Daniel!"

Stephanie T.
Stephanie T.
Operational Excellence Coach

"Daniel is a true consultant dedicated to the Data field. He cares not only about my resume, but also my desire, my career path and matched suitable positions for me. His advice and feedback throughout the process was invaluable."

Yi (James) Liu
Yi (James) Liu
Google Certified Professional Data Engineer/Cloud Architect

"Daniel is a truly personable and professional person. Coordination and work were a breeze. He has an excellent dedication to his career and has shown great help in many ways, including frequent updates and additional information."

Joheb Shaikh
Joheb Shaikh
Data & Reporting Analyst | Python, SQL, Tableau, R & ML

"I had the privilege to work with DK whilst heading up the APAC Talent function at ConsenSys. He was professional, quick to his feet, and ultimately delivered flawlessly. Happy to work with him again should the opportunity arise."

Luke Yoo
Luke Yoo
Here to help you recruit

"Daniel is a tenacious fellow. If you are looking for work he'll have jobs flying at you left right and centre, and if you are looking to hire he's got some quality candidates. He never sent me a PD that was a waste of time either. Do recommend."

Alexander Ward
Alexander Ward
Data architecture, engineering and analytics

"We engaged Daniel to help us search for a niche role in a tight market. Daniel was incredibly thorough, and really took the time to get to know the role, necessary skill set, the business and our expectations. He presented great talent in a very short period — his management of candidates and expectations was second to none."

Edwina Webb
Edwina Webb
General Manager - People + Culture at Bastion

Need AI talent without wasting weeks on the wrong profiles ?

Tell us what you are building, where the capability gap is, and what kind of engineer you think you need. We will help you pressure-test the brief and map the fastest path to a credible shortlist.