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TALENTSTACK / ARTIFICIAL INTELLIGENCE

Find the talent turning AI into real products.

TalentStack helps AI businesses shape engineering, data, research, product and commercial hiring. We distinguish the mandate for applied AI from research, infrastructure and customer-facing implementation.

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INDUSTRY CONTEXT

Define the problem before defining the profile.

AI hiring needs clarity on model work, production systems, evaluation and the customer problem.

01

Research or application?

Set the balance between research depth, model adaptation and shipping usable products.

02

Production capability

Identify expectations for data pipelines, model deployment, evaluation and operational ownership.

03

Business adoption

Connect technical hiring with product, solutions and commercial teams that make AI useful to customers.

REQUIREMENTS WE CAN SUPPORT

Build the right mix of talent.

Select a role family to start a brief. The exact mandate and assessment criteria are aligned with your hiring team.

AI & research

Machine Learning Engineer

Applied AI Scientist · NLP Engineer · Computer Vision Engineer · Research Lead

Data & infrastructure

MLOps Engineer

Data Engineer · AI Platform Engineer · Backend Engineer · Engineering Manager

Product & commercial

AI Product Manager

Solutions Architect · Enterprise Sales Lead · Customer Success Lead · CTO

OUR CLIENTELE

Businesses we have worked with.

Selected relationships across artificial intelligence. Explore each company’s website.

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Past and current client relationships. Logos identify the respective businesses; services are scoped individually.

WAYS TO WORK TOGETHER

From a specialist AI search to a full team.

Create focused hiring capacity for niche skill sets, leadership and team expansion.

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CLIENT PERSPECTIVE / Haptik
“TalentStack has helped me fill a few key positions quickly.”

Aakrit Vaish · Founder & CEO, Haptik

POWERED BY TALENTSTACK ORBIT

A clearer picture of the talent market.

Use Orbit-supported search planning to map technical domains, relevant company backgrounds and location options. Candidate research, project evidence and assessment depth are confirmed with your technical team.

Explore TalentStack Orbit
  1. MapRole, location and target-company universe
  2. CalibrateCompensation, availability and must-have skills
  3. EngageRelevant talent and a recruiter-led shortlist
BEFORE WE START

Your hiring questions, answered.

Which roles does TalentStack recruit for in Artificial intelligence?

We can support ML engineering, applied AI, NLP, computer vision, MLOps, data engineering, AI platforms, product, solutions and leadership. Research-heavy and production-heavy mandates need different scorecards, agreed at kickoff.

Which engagement model should we choose?

Use contingent recruitment for defined vacancies, Embedded for a dedicated recruiter, Flex for shared delivery with your team, or Enterprise RPO for a programme shaped around your requirements. Executive search and contract staffing address leadership and project capacity.

When can we expect candidate submissions?

TalentStack follows a 24–72-hour candidate-submission TAT after brief alignment. The scope, market constraints and assessment requirements are agreed at kickoff. This is submission timing, not a promise of time to hire.

Can TalentStack support an India capability center?

Yes. TalentStack can coordinate India-entry workstreams with the relevant specialists, build a talent intelligence plan, recruit founding leaders and scale teams. Entity, legal and tax work is scoped with qualified advisers.

How does Orbit support the search?

TalentStack Orbit is our proprietary talent intelligence tool. Share the role, location, seniority and compensation so our team can validate the talent map. Published profile totals are shown only when a verified aggregate is available.

LET’S BUILD YOUR TEAM

Build the team behind your AI ambition.

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