Hire AI-powered Engineering Teams in Your Time Zone
Hire Professionals
Build your AI-native team with vetted, top-tier talent from Vietnam.
- 1Requirements
- 2Talent
- 3Proposal
Select AI-ready roles
AI Ready TalentAll roles come with AI-ready skillsets.
No matching roles.
The slow part of hiring isn't the decision. It's the wait.
3+ months
Job posts, resume screening, scheduling rounds, and offer negotiation — usually alongside a full-time role, not instead of one.
4–6 weeks
Faster than doing it yourself, but you're still waiting on a recruiter to source, screen and schedule before you see a single profile.
3–5 days
To your first interview — because the sourcing and screening already happened before you asked.
Find the Tech Talent You Need
Hire the Top 5% of AI-Native Developers and Engineers from Vietnam
Khuong Nguyen
AI Engineer
Trong Nguyen
Machine Learning Engineer
Tung Nguyen
Generative AI Engineer
Hoang Vuong
NLP Engineer
Phuc Pham
AI Prompt Engineer
An AI engineer with hands-on experience in developing and deploying machine learning models for real-world applications. Skilled in model training, optimization, and integration into production systems. Experienced with computer vision and natural language processing projects.
A machine learning specialist focusing on building predictive models and data-driven solutions. Skilled in supervised and unsupervised learning, model evaluation, and real-time deployment. Strong background in data preprocessing and feature engineering.
An engineer passionate about generative models, working on text-to-image and text-to-video solutions. Experienced in fine-tuning large language models and diffusion models for creative AI applications.
A natural language processing engineer specializing in text analytics, chatbot development, and semantic search applications. Skilled in building custom NLP pipelines and deploying conversational AI systems.
A prompt engineer with expertise in designing, optimizing, and fine-tuning prompts for large language models. Focused on maximizing output relevance, creativity, and accuracy for enterprise AI systems.
A data engineer with a strong background in designing and maintaining large-scale data pipelines. Skilled in ETL processes, cloud data storage solutions, and real-time data streaming for business intelligence applications.
A data analyst with a solid background in statistical analysis, data visualization, and business reporting. Skilled in extracting actionable insights from large datasets to support strategic decision-making. Proficient in creating dashboards and KPI reports.
A business intelligence developer with experience designing and optimizing BI solutions for various industries. Skilled in data modeling, reporting automation, and delivering clear business insights to stakeholders.
A big data engineer specializing in building scalable big data infrastructure and solutions. Skilled in managing Hadoop clusters, real-time streaming, and cloud-native data engineering practices.
A visualization expert passionate about translating complex datasets into intuitive and engaging visual stories. Skilled in dashboard development, interactive reporting, and advanced data storytelling techniques.
A mobile app developer with a focus on creating seamless experiences for iOS and Android users. Skilled in hybrid and native app development, app optimization, and mobile UI/UX design.
A DevOps specialist experienced in automating CI/CD pipelines, infrastructure management, and cloud deployment. Skilled in ensuring application reliability, scalability, and security.
A QA engineer dedicated to maintaining high-quality software standards through rigorous testing strategies. Skilled in automated testing, bug tracking, and performance testing for large-scale applications.
A frontend developer specializing in building responsive and user-friendly web applications. Skilled in modern UI/UX practices, performance optimization, and cross-browser compatibility. Experienced in developing scalable interfaces for SaaS platforms.
A versatile full stack developer with strong expertise in both frontend and backend technologies. Skilled in building robust web applications from scratch, database management, and cloud integration.
An AI engineer with hands-on experience in developing and deploying machine learning models for real-world applications. Skilled in model training, optimization, and integration into production systems. Experienced with computer vision and natural language processing projects.
A machine learning specialist focusing on building predictive models and data-driven solutions. Skilled in supervised and unsupervised learning, model evaluation, and real-time deployment. Strong background in data preprocessing and feature engineering.
An engineer passionate about generative models, working on text-to-image and text-to-video solutions. Experienced in fine-tuning large language models and diffusion models for creative AI applications.
A natural language processing engineer specializing in text analytics, chatbot development, and semantic search applications. Skilled in building custom NLP pipelines and deploying conversational AI systems.
A prompt engineer with expertise in designing, optimizing, and fine-tuning prompts for large language models. Focused on maximizing output relevance, creativity, and accuracy for enterprise AI systems.
A data engineer with a strong background in designing and maintaining large-scale data pipelines. Skilled in ETL processes, cloud data storage solutions, and real-time data streaming for business intelligence applications.
A data analyst with a solid background in statistical analysis, data visualization, and business reporting. Skilled in extracting actionable insights from large datasets to support strategic decision-making. Proficient in creating dashboards and KPI reports.
A business intelligence developer with experience designing and optimizing BI solutions for various industries. Skilled in data modeling, reporting automation, and delivering clear business insights to stakeholders.
A big data engineer specializing in building scalable big data infrastructure and solutions. Skilled in managing Hadoop clusters, real-time streaming, and cloud-native data engineering practices.
A visualization expert passionate about translating complex datasets into intuitive and engaging visual stories. Skilled in dashboard development, interactive reporting, and advanced data storytelling techniques.
A mobile app developer with a focus on creating seamless experiences for iOS and Android users. Skilled in hybrid and native app development, app optimization, and mobile UI/UX design.
A DevOps specialist experienced in automating CI/CD pipelines, infrastructure management, and cloud deployment. Skilled in ensuring application reliability, scalability, and security.
A QA engineer dedicated to maintaining high-quality software standards through rigorous testing strategies. Skilled in automated testing, bug tracking, and performance testing for large-scale applications.
A frontend developer specializing in building responsive and user-friendly web applications. Skilled in modern UI/UX practices, performance optimization, and cross-browser compatibility. Experienced in developing scalable interfaces for SaaS platforms.
A versatile full stack developer with strong expertise in both frontend and backend technologies. Skilled in building robust web applications from scratch, database management, and cloud integration.
Four checkpoints before anyone joins the pool
01
Technical assessment
Hands-on evaluation of the specific AI stack and seniority claimed — not a generic aptitude test.
02
Live technical interview
A working session with a senior reviewer to see how they reason through real problems, not just recite answers.
03
English & communication
Checked directly, since it's often the real reason a remote hire underdelivers — not the code.
04
Working style & reliability
How they've handled deadlines, feedback and ambiguity on past projects, from people who've worked with them.
Hire Quality and Cost-Optimized Developers at Your Desired Budget
Available in all Time Zones (CET, PST, EST, etc.)
* Estimated annual cost based on a Senior Full-Stack Developer with 5–8 years of experience.
Outstanding Performance
Hire from the top 5% of AI-native engineers, rigorously vetted from a pool of 1,000+ pre-interviewed candidates in Vietnam for technical excellence, reliability, and cultural fit.
Cost-Effective Solutions
Reduce hiring costs by up to 36% compared to traditional recruitment and complete the hiring process within just 2 weeks.
Quick & Easy Hiring
Streamlined contract model to build your tech team faster, without administrative headaches.
Why TalentX?
Our Hiring Model
Fast Onboarding
Onboard your new remote team members within just 1 week.
Guaranteed Quality
Only the top 5% of candidates make it through the vetting process.
Simplified HR Management
TalentX handles all administrative, onboarding, and post-hiring HR tasks so you can focus on scaling your business.
Why Traditional Hiring Fails — and How TalentX Solves It
Our Process
Step 1
Choose a Path
Browse and shortlist yourself, or share your goals, budget and team dynamics with a consultant.
Step 2
Review Candidates & Pricing
See skills, rate and availability up front, on your own or with your consultant, before anything is sent.
Step 3
Interview Within Days
Every shortlisted candidate is already vetted, so the first conversation happens fast.
Step 4
Onboard, Risk-Free
Confirm the fit during a trial period. Payments, reporting and HR are handled from day one.
Find the Right Talent for Every Role
AI Engineers
Machine Learning Engineers
Generative AI Engineers
AI Prompt Engineers
NLP Engineers
Computer Vision Engineers
Data Scientists (AI focus)
Data Engineers
AI-augmented Backend Developers
AI-augmented Frontend Developers
AI-augmented Full-stack Developers
Software Developers
Senior Engineers
Software Architects
Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering
Frequently Asked Questions (FAQs)
Either. Browse and shortlist yourself if you know the roles you need; work with a consultant if you'd like help with goals, budget and team dynamics. Both paths use the same pre-interviewed talent.
AI engineers, machine learning engineers, generative AI and prompt engineers, NLP and computer vision engineers, and data engineers — plus senior backend, frontend and full-stack engineers who have upgraded their skills with AI.
You see skills, rate and availability up front, before anything is sent. The number on your proposal is the number you pay — nothing gets added on afterward.
Your first interview typically happens within 3–5 days, because candidates are already pre-interviewed. The full timeline to start depends on your project needs.
Every candidate passes four checkpoints — technical assessment, live technical interview, English & communication, and working style & reliability — before joining the pool. Candidates who don't clear every stage aren't added.
You confirm the fit during a trial period. Payments, reporting and HR are handled from day one.
Every Practice You Need to Scale
AI & Machine Learning
Data Engineering & Analytics
Software Development
DevOps & Infrastructure
Product Management
AI & Machine Learning
Data Engineering & Analytics
Software Development
DevOps & Infrastructure
Product Management
What Our Clients Are Saying
Solo K.
Product Manager, Citigroup
Kyle Y.
Advisor, Shorooq Partners
Aron Steg
CTO, HarkMedical
Keith H.
Sr. Project Manager, Scotiabank