Vetted, Managed, Ready

Hire an Offshore AI Engineer

Every business sitting on AI ambitions without the engineering capacity to build them is leaving efficiency gains and competitive advantage on the table. Our AI Engineers work in your systems, follow your processes, and represent your brand - at a fraction of what a local hire costs.

AI Engineer

What is an AI Engineer?

An AI Engineer designs, builds, and deploys machine learning models and AI-powered features - from data pipelines to model training to production integration.

Outsourcing this role across the Philippines, India and Indonesia gives businesses access to qualified, English-proficient AI and machine learning professionals at 50-70% less than local hiring costs - with no recruitment fees, no lock-in, and full management handled by Platintel.

What an Offshore AI Engineer Does for Your Business

Every business sitting on AI ambitions without the engineering capacity to build them is leaving efficiency gains and competitive advantage on the table.

Through Platintel, your AI Engineer is fully managed offshore, plugged into your data infrastructure and ML tooling from day one, and backed by ISO 9001-certified quality processes. You get solid, professional support without the cost of a local hire.

AI Engineer

What Your AI Engineer Will Handle

Junior
0 - 2 years
Prepare and clean training data sets
Support model training and evaluation under guidance
Write scripts for data pipelines
Document model performance and experiments
Assist with API integration for AI features
Participate in sprint planning
Mid-level
2 - 4 years
Build and fine-tune machine learning models
Design data pipelines for training and inference
Integrate AI features into production systems
Monitor model performance and drift
Own experiment tracking and documentation
Collaborate with engineering on deployment
Senior
4+ years
Design AI architecture and model strategy
Lead evaluation of build vs. buy AI decisions
Mentor junior AI and data engineers
Own MLOps pipeline and model governance
Advise leadership on AI roadmap and ROI
Lead vendor and tooling evaluation

Tools and Platforms Your Specialist Will Use

They work in your stack - no tool lock-in, no retraining on your end.
Our AI Engineers are trained across the leading AI and machine learning platforms. Common tools include, but are not limited to:
Python
PyTorch
TensorFlow
OpenAI API
LangChain
AWS SageMaker
Docker
SQL
CoPilot

Meet Some of Our Candidates

These are the kinds of offshore candidates you would be interviewing.
Real talent that is properly vetted.

Junior
0 - 2 years
Name
Siti N. - Jakarta, Indonesia
Experience
1.5 years AI and machine learning experience, BPO environment
Education
BS Information Technology, University of Indonesia
Certifications
CompTIA A+ (in progress), AWS Certified Cloud Practitioner (in progress), Google IT Support Certificate
Mid-level
2-4 years
Name
Neha J. - Chennai, India
Experience
3 years ai engineer experience
Education
BS Information Technology, University of Delhi
Certifications
AWS Certified Developer Associate, CompTIA Network+, Certified Scrum Master
Senior
4+ years
Name
Mark S. - Iloilo, Philippines
Experience
6 years ai engineer experience, including 2 years team leadership
Education
BS Information Technology, University of Cebu
Certifications
AWS Certified Solutions Architect, PMP, Certified Kubernetes Administrator

How a AI Engineer Fits Into Your Team


An AI Engineer usually sits within your IT & Tech team, working closely with the colleagues and systems they support to get the job done.

Frequently Asked Questions

What Does an Offshore AI Engineer Do?

An AI Engineer designs, builds, and deploys machine learning models and AI-powered features - from data pipelines to model training to production integration. Day to day, that means building and fine-tune machine learning models, designing data pipelines for training and inference, integrating AI features into production systems, and more. Basically, they take this work off your plate so your in-house team can focus on higher-value work.

Can an Offshore AI Engineer Work in My Time Zone?

Yes. We match time zone coverage to your needs during the briefing process. Our Philippines hub has strong overlap with Australian and US business hours. We confirm the exact setup before you commit to anything.

What Tools Does an Offshore AI Engineer Us

They're trained across the main AI and machine learning platforms - Python, PyTorch, TensorFlow, and more. They also work across standard tools like Slack, Teams, and Google Workspace. If your stack isn't on this list, let us know - we vet for your specific tooling.

How Quickly Can an AI Engineer Be Onboarded?

Most clients have a shortlisted candidate within 5 business days, and their new team member fully onboarded in 2-6 weeks. We handle all contracts, compliance, and setup. You just run the interview and make the call.

Is an AI Engineer the Same as a Data Analyst?

AI Engineers build and deploy machine learning models and AI features, while Data Analysts focus on reporting, dashboards, and interpreting existing data. There is overlap and we can brief either role based on your specific needs.

Do I Need to Provide Equipment for My Offshore AI Engineer?

No. Platintel provides all IT equipment on Day 1 as part of the onboarding process. Your new team member arrives ready to work in your tools from the start.
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Ready to Hire an Offshore  AI Engineer?

Tell us what you need and we'll come back within one business day with a shortlist and a pricing guide.

Get Started Today
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