Hire AI Developers from a Leading
AI Development Company in Vietnam
Whether you're launching an AI-driven product, scaling your engineering capacity, or looking for a long-term innovation partner, our Vietnam-based teams offer the perfect blend of technical excellence, agility, and cost-efficiency. Build your AI dream team with top-tier engineers, data scientists, and ML experts cost-effective, agile, and globally trusted.
13 YEARS
in Agile Engineering & Software Development
500+
engineers, AI specialists, and data scientists.
5
Global Offices
100+
Clients in Fortune 500
8+ YEARS
delivering enterprise AI projects
Our Awards & Recognitions
Quality-first approach based on a mature ISO 9001-certified quality management system.
ISO 27001-certified security management that relies on comprehensive policies and processes, advanced security technology, and skilled professionals.
A full-scale PMO able to carry out even the most complex projects.
A leading outsourcing provider featured on the Clutch for three years in a row.
We are trusted by Fortune 500 companies
What makes Kyanon Digital different ?
Human-Centric Design, Engineering Excellence, Empowered by Agility
Human-Centric Design:
We design solutions that are intuitive, impactful, and crafted to solve real-world challenges while enhancing user experiences.
Engineering Excellence:
With our Center of Excellence (CoE) driving innovation, we deliver scalable, reliable, and future-ready digital solutions.
High-performance Agile Teams:
Our expert teams seamlessly integrate with yours, combining technical expertise, agile mastery, and transparent collaboration to deliver adaptable, high-impact results.
Why Hire a Dedicated AI Team in Vietnam?
Vietnam is a rising tech hub with a highly skilled, cost-effective talent pool.
1
Strong STEM education, English proficiency, and cultural compatibility.
2
Kyanon Digital has 13+ years of software delivery experience, with a proven AI talent pipeline.
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AI Developers for Hire – Roles We Provide
Team Capabilities
Engagement Models
Let AI Experts Bring Your Vision to Life
Tell us about your goals, challenges, and requirements, our team will respond swiftly with tailored insights, expert recommendations, and a strategic action plan to move forward.
What are the key factors to consider when hiring AI dedicated team in Vietnam?
When hiring an AI dedicated team in Vietnam, it’s crucial to look beyond just cost savings and consider a mix of technical capability, collaboration efficiency, and strategic alignment. Here’s a breakdown of the key factors to consider.
Technical Expertise & Domain Knowledge
- Core AI skills: Machine learning, deep learning, NLP, computer vision, predictive analytics.
- Software development: Full-stack capabilities to support AI integration into applications.
- Toolstack: Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, AWS/GCP, etc.
- Industry experience: EdTech, TravelTech, LegalTech, Fintech, retail, healthcare, etc. based on your use case.
Talent Quality & Team Composition
- Availability of pre-vetted engineers, data scientists, and MLOps specialists.
- Balance of senior-level AI experts and scalable junior/mid-level talent.
- Ability to customize team structure (e.g., team leads, QA, DevOps).
Communication & Collaboration
- English proficiency (especially for lead roles).
- Experience working in Agile/Scrum environments.
- Overlap in working hours with your time zone or flexibility to adjust.
- Tools used: Jira, Slack, Zoom, Confluence, etc.
IP Protection & Security Standards
- NDAs and contracts aligned with your data privacy requirements.
- ISO 27001 or equivalent security certifications.
Infrastructure for secure development environments
Scalability & Flexibility
- Ability to ramp up/down the team quickly based on your project needs.
- Support for long-term engagement or transition to in-house over time.
- Option to start small (e.g., 2-3 members) and grow as needed.
Cost Transparency & Engagement Models
- Clear pricing structure (hourly, monthly, T&M, fixed price).
- No hidden fees for onboarding, management, or infrastructure.
- Models offered: Fixed-Price Model, Time & Material (T&M) Model, Dedicated Team Model.
Vendor’s Track Record & Reputation
- Proven success in AI and software development projects.
- Case studies or client references available.
- Years of experience in the Vietnam tech ecosystem.
- Thought leadership or community contribution in AI/ML space.
Cultural Fit & Working Style
- Alignment in work ethic, communication norms, and values.
- Willingness to act as a true partner, not just a vendor.
- Proactive, problem-solving mindset.
Building AI software requires expertise, the right strategy, and robust infrastructure. At Kyanon Digital, we develop high-performing AI solutions tailored to your needs. Let’s transform your business with AI. Contact us today!
Kyanon Digital’s Approach to Scalable AI Software Development
At Kyanon Digital, we follow a structured AI development approach tailored to each business’s unique needs. Below, our AI consultants provide a high-level overview of the process. The specific scope and deliverables of each step depend on factors such as your business model, data availability, and the complexity of your AI solution.
- For enterprises: We analyze your business goals and how AI can help achieve them. We also assess your company’s infrastructure, operations, and how data is managed to ensure smooth AI integration. Additionally, we study the needs and expectations of your end users.
- For software product companies: We identify ways to gain a competitive edge by analyzing competitors, target customers, and key features needed to stand out in the market.
- We define both functional and technical requirements, including the specific AI features, performance expectations, scalability, response time, and compliance with regulations like HIPAA, GDPR, and PCI DSS.
- Lastly, we outline the project scope, estimate costs and timelines, and develop a plan to reduce potential risks.
- For cost-effective solutions that maintain high-quality output, selecting the right pre-trained model, such as a GPT model, or one from PyTorch Hub or the SpaCy library, requires evaluating factors like use case suitability, licensing constraints, and overall costs.
- For projects requiring innovation, experimentation, or high precision, developing a proprietary machine learning model involves designing the architecture, training and optimizing algorithms, fine-tuning hyperparameters, and other customization steps to ensure optimal performance.
- Solution Architecture & Development: Designing the system architecture, backend, and integrations for seamless functionality.
- User-Centric UX/UI Design: Creating an intuitive interface to enhance user convenience and ensure smooth adoption, particularly for enterprises.
Pre-Trained Models: Fine-tuning and integrating the selected model for optimal performance.
Proprietary Models:
- Collecting and cleansing data, including exploratory data analysis (EDA).
- Splitting data into training, validation, and test sets.
- Training and fine-tuning the model based on performance results.
Non-AI Development:
- Implementing DevOps and backend development.
- Conducting testing and QA, with automation where applicable.
- Deploying the Model: Launching the ML/AI model on live data within the solution to evaluate and assess initial output.
- Error Handling: Managing errors and exceptions, such as unexpected outputs from the model.
- Infrastructure & Security: Configuring solution infrastructure and implementing robust network security mechanisms.
- Software Deployment: Deploying the software with the integrated ML/AI model to the target environment.
- Model Testing & Validation: Testing and validating the model’s performance and accuracy in the live environment.
- Scaling & Optimization: Scaling and optimizing the model to ensure it handles the expected workload.
- System Integration: Integrating the solution with necessary corporate and third-party systems (if applicable).
- UI Integration: Connecting the model to the user interface (e.g., web page, analytics dashboard, or customer portal).
- End-to-End Testing: Conducting comprehensive testing of the entire solution.
- Going Live: Setting the AI solution live for operational use.
To support organizational changes driven by AI adoption, businesses may need practical assistance with the following:
- Upgrading Data Governance & Management: Revamping corporate data policies to streamline data access, eliminate silos, and ensure high-quality data for ML/AI solutions.
- Employee Workflow Adaptation: Designing a plan to adapt employee workflows to the new software, including creating policies for new roles.
- User Tutorials & Maintenance Guides: Developing tutorials and guides for in-house IT teams to manage and maintain the solution effectively.
- Employee Training: Offering training in flexible formats (live, remote, hybrid) to ensure employees can easily adopt the new system.
- Performance Monitoring & Optimization: Continuously tracking and enhancing solution performance.
- Issue Resolution: Detecting and addressing security, compatibility, and other arising issues promptly.
- UX/UI Enhancements: Refining the interface based on user feedback for better usability.
- Model Fine-Tuning: Re-training and optimizing the ML/AI model to improve accuracy.
Estimating the Cost of Your AI Software Development Project
The cost of AI software development varies widely, typically ranging from $30,000. Several key factors influence the final price, including:
Complexity & Scope
Simple AI solutions cost less, while advanced, large-scale systems require greater investment.
Custom vs. Pre-Trained Models
Developing a proprietary ML model involves higher costs than using and fine-tuning pre-trained models.
Integration Requirements
Seamlessly embedding AI into existing software or infrastructure may add to the overall expense.
Get a Personalized AI Development Cost Estimate
Wondering what your AI project might cost? Try our AI cost calculator for a tailored estimate based on your specific requirements.
Pricing Models for AI Developer Hire
Kyanon Digital provides flexible Pricing models for AI Software Development and Post Production Support & Maintenance
AI Software Development Pricing Models
Category
Fixed-Price Model
Time & Material (T&M) Model
Dedicated Team Model
Best For
- Businesses needing ongoing maintenance, security, and updates
- SaaS, fintech, and cloud applications
- Companies with occasional support needs
- Best for minor bug fixes, security patches, and system optimizations.
- Long-term projects requiring continuous updates and feature expansion
- Enterprise solutions, large-scale cloud applications.
Cost Structure
Fixed upfront cost with milestone payments.
Hourly or daily rates based on actual work completed.
Flexibility
Low – Changes require contract adjustments.
High – Adjust scope and team size as needed
High – Direct control over team priorities.
Cost Structure
Fixed upfront cost with milestone payments.
Hourly or daily rates based on actual work completed.
Monthly retainer for a team with dedicated resources.
Flexibility
Low – Changes require contract adjustments.
High – Adjust scope and team size as needed
High – Direct control over team priorities.
Risk Allocation
Vendor assumes most risk – delays or overruns are absorbed
Shared – Client pays for actual effort; vendor ensures efficiency
Client takes most of the risk but gains deep expertise and retention
Time-to-Market
Faster – Predefined scope ensures timely delivery.
Moderate – Agile approach may extend delivery but ensures adaptability
Longer – Best suited for continuous product development
Client Involvement
Low – Suitable for hands-off management
Medium – Regular client input needed for prioritization
High – Client directly manages or collaborates with the team
Scalability
Low – Fixed contract limits major expansions
High – Easily scales up or down based on workload
Very High – Dedicated team ensures seamless scaling over time.
Support & Maintenance Pricing Models
Category
Fixed-Price Model
Time & Material (T&M) Model
Dedicated Team Model
Best For
- Businesses needing ongoing maintenance, security, and updates
- SaaS, fintech, and cloud applications
- Companies with occasional support needs
- Best for minor bug fixes, security patches, and system optimizations.
- Long-term projects requiring continuous updates and feature expansion
- Enterprise solutions, large-scale cloud applications.
Cost Structure
Fixed upfront cost with milestone payments.
Hourly or daily rates based on actual work completed.
Flexibility
Low – Changes require contract adjustments.
High – Adjust scope and team size as needed
High – Direct control over team priorities.
Cost Structure
Fixed upfront cost with milestone payments.
Hourly or daily rates based on actual work completed.
Monthly retainer for a team with dedicated resources.
Flexibility
Low – Changes require contract adjustments.
High – Adjust scope and team size as needed
High – Direct control over team priorities.
Risk Allocation
Vendor assumes most risk – delays or overruns are absorbed
Shared – Client pays for actual effort; vendor ensures efficiency
Client takes most of the risk but gains deep expertise and retention
Time-to-Market
Faster – Predefined scope ensures timely delivery.
Moderate – Agile approach may extend delivery but ensures adaptability
Longer – Best suited for continuous product development
Client Involvement
Low – Suitable for hands-off management
Medium – Regular client input needed for prioritization
High – Client directly manages or collaborates with the team
Scalability
Low – Fixed contract limits major expansions
High – Easily scales up or down based on workload
Very High – Dedicated team ensures seamless scaling over time.
Our Tech Stacks
Machine learning platforms and services
Machine learning frameworks and libraries
Programming languages
Expertise integration with 3rd parties
Our Success Stories
Boost Software Value with Advanced Technologies
Looking to outpace competitors, adopt innovative business models, or unlock higher revenue streams? Kyanon Digital is here to help you design and develop future-ready software powered by the latest technologies.
Artificial Intelligence & Machine LearningEnhance everyday experiences by integrating AI to make activities safer, more efficient, and engaging.
SELECTED AI TECHNOLOGIES WE MASTER:
CloudEnhance everyday experiences by integrating AI to make activities safer, more efficient, and engaging.
SERVICES WE OFFER:
Big DataHarness the power of advanced analytics to aggregate, process, and analyze vast data volumes for actionable insights.
SERVICES WE OFFER:
Internet of ThingsConnect the digital and physical worlds with IoT solutions that simplify operations and unlock new opportunities.
SERVICES WE OFFER:
Mix RealityMerge physical and digital environments to deliver immersive and intuitive experiences, making everyday interactions more seamless and engaging.
SERVICES WE OFFER:
Our Outsourcing Insights
FAQ
Vietnam offers a unique combination of highly skilled tech talent, cost-effectiveness, and strong English proficiency. Thanks to early adoption of AI technologies and increasing investment in innovation, Vietnam is steadily emerging as a rising AI hub in the global market. The country’s growing ecosystem of AI research, active government support, and expanding presence of global tech companies make it a strategic destination for building high-performing AI and software development teams, at a fraction of the cost compared to Western markets.
Your team can include a wide range of experts such as AI/ML engineers, data scientists, data engineers, computer vision and NLP specialists, backend/frontend developers, Full-stack developers, DevOps engineers, and QA testers. We tailor the team composition based on your project needs and long-term goals.
All team members at Kyanon Digital go through a rigorous vetting process including technical assessments, project-based evaluations, and communication checks. We also ensure continuous upskilling and offer hands-on experience with real-world AI projects across industries.
We take a human-centric approach:
- First, we understand your business goals.
- Then we design tailored AI solutions, from GenAI prototypes to full-scale LLM integrations.
- We prioritize ethical AI, privacy, and explainability throughout development.
Our teams specialize in RAG architecture, prompt engineering, AI DevOps, and cloud-native AI deployment, ensuring a smooth path from concept to production.
Here are just a few ways we help clients with GenAI and LLMs:
- AI Recommendations: Suggest marketing strategies, content ideas, or product features, recommend tech stacks, pricing models, and KPIs, Identify trends, customer insights, and growth opportunities.
- AI Assistance: Write blogs, emails, reports, and social media content, analyze data, generate summaries, and create dashboards, build or debug code, automate workflows, and design visuals.
- AI Chatbots: Domain-trained assistants for customer support or internal helpdesks.
- Content Automation: Generate blogs, reports, or marketing copy aligned to brand voice.
- Intelligent Search: RAG-powered search experiences that understand intent.
- Code Generation & QA: AI copilots for developers and product teams.
- Document Summarization: Turn lengthy reports into smart executive briefs.
We combine deep AI expertise, ISO-certified quality, and a track record with Fortune 500 clients in industries from fintech to healthcare.
We provide AI engineers, data scientists, ML/NLP experts, and full-stack developers for end-to-end AI solution delivery.
All developers are pre-vetted, trained in Agile delivery, and experienced in production-grade AI deployments.
Yes. We offer flexible engagement models, allowing you to start with 1–2 developers and scale up as needed.
Absolutely from ideation and model training to deployment, integration, and maintenance.
Start Your AI Outsourcing in Vietnam Today
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