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AI Engineer

Full-Time AI Engineers from $2,000/month

Get started with vetted AI Engineers in as little as 10 days and save up to 80%. Kuubiik manages contracts, payments, and HR core processes, helping you avoid compliance gaps and unnecessary risk.

Trusted by 500+
fast-growing companies

Trusted by 500+ fast-growing companies

How much does it cost to outsource a AI Engineer?

Compare monthly outsourcing costs and skill levels across junior, mid-level, and senior AI Engineers.

Junior AI Engineer

1 - 2 years of experience

Degree in Computer Science, Mathematics, or a related field
1-2 years of hands-on experience with machine learning projects
Proficiency in Python and core ML libraries (scikit-learn, TensorFlow, or PyTorch)
Solid understanding of supervised and unsupervised learning techniques
Experience working with structured datasets and basic feature engineering
Strong willingness to learn and apply new AI frameworks

Southeast Asia

$2,000 - $3,000 /mo

LATAM

$4,000 - $5,500 /mo

USA

$8,000 - $10,000 /mo

Mid-Level AI Engineer

3 - 5 years of experience

Degree in Computer Science, AI, or related field
3+ years of experience building and deploying ML models
Proficient in deep learning frameworks (TensorFlow, PyTorch, Keras)
Experience with model training pipelines, hyperparameter tuning, and evaluation
Solid understanding of NLP, computer vision, or time-series modeling
Ability to translate business problems into AI solutions

Southeast Asia

$3,000 - $4,500 /mo

LATAM

$5,500 - $7,500 /mo

USA

$12,000 - $15,000 /mo

Senior AI Engineer

6+ years of experience

Advanced degree or extensive portfolio in AI and ML preferred
6+ years of experience designing and shipping production-grade ML systems
Deep expertise in model architecture, optimization, and scalability
Proven experience leading AI projects end-to-end from research to deployment
Strong knowledge of MLOps practices, CI/CD for models, and cloud AI platforms
Ability to mentor teams and drive AI strategy across the organisation

Southeast Asia

$4,500 - $6,500 /mo

LATAM

$7,500 - $11,000 /mo

USA

$15,000 - $20,000 /mo

AI Engineer responsibilities and core areas of work

Model Development

An AI Engineer designs and builds machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn.
Select appropriate algorithms and architectures based on the problem type and available data.
Perform iterative model training, evaluation, and fine-tuning to hit performance benchmarks.

Data Preparation

Source, clean, and transform raw datasets into training-ready formats.
Conduct exploratory data analysis (EDA) to uncover patterns, outliers, and feature opportunities.
Build reproducible data pipelines that support consistent model training and evaluation.

Model Deployment

Package and deploy ML models to production environments via REST APIs or cloud-native services.
Integrate models into existing applications and backend systems with minimal friction.
Monitor deployed models for performance degradation, data drift, and accuracy over time.

Experimentation & Research

Run structured experiments to test hypotheses, compare approaches, and document findings.
Stay current with advances in AI research and evaluate new techniques for practical application.
Prototype proof-of-concept solutions to validate feasibility before full development.

Feature Engineering

Identify and create meaningful features from raw data that improve model accuracy.
Apply dimensionality reduction, encoding, and normalisation techniques as needed.
Collaborate with data engineers to ensure feature pipelines are scalable and maintainable.

Cross-functional Collaboration

An AI Engineer works closely with data engineers, product managers, and software developers to align on AI requirements.
Translate complex model outputs into clear, actionable insights for non-technical stakeholders.
Participate in code reviews and contribute to team knowledge sharing on AI best practices.

Tools & Infrastructure

Leverage cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) for scalable training and inference.
Use experiment tracking tools like MLflow, Weights & Biases, or Neptune to manage model versioning.
Contribute to building and maintaining the shared ML tooling and infrastructure used by the team.

Finding the right resource has never been more flexible

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Full-Time AI Engineers from $2,000/month

How much does it cost to outsource a AI Engineer?

Junior AI Engineer

Mid-Level AI Engineer

Senior AI Engineer

AI Engineer responsibilities and core areas of work

Model Development

Data Preparation

Model Deployment

Experimentation & Research

Feature Engineering

Cross-functional Collaboration

Tools & Infrastructure

Finding the right resource has never been more flexible

Related to

Roles

SALES

MARKETING

CREATIVE

Administrative Assistant

Industry Assistant

Human Resources (HR)

ACCOUNTING

FINANCE

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