What Jobs are available for AI Engineer in Hong Kong?

Key Responsibilities:

• Research the AI applications in industries and different technologies that would bring benefit to the company
• Implement machine learning / deep learning techniques such as Computer Vision, NLP and other related AI modules to the existing product
• Work closely with the IT team to support users usages for the product

What are we looking for:

• Bachelors or higher degree in Computer Science or any other discipline / Studying in Computer Science or any other discipline
• Demonstrated working experience in AI research on applied science
• Experience in AI tools such as TensorFlow, Caffe, Darknet, Pytorch
• Experience in programming using Python, C++, Java, JavaScript
• Passionate about coding and programming, innovation, and solving challenging problems
• Knowledge in Geographic Information System would be a bonus
• Comfortable to work in an agile environment
• Good team player
• Fluent in English, good written and oral communication skills

Key Responsibilities

• Train and optimize AI models, including LLM systems.
• Design prompts for consistent and immersive dialogue.
• Implement retrieval-augmented generation and memory systems for conversational context.
• Keep abreast of AI advancements to improve role-play functionality.
• Prepare diverse datasets for model training and evaluation.
• Document workflows to foster team collaboration and innovation.

Required Skills & Qualifications

• Bachelor's or Master's in Computer Science, or related field (or equivalent experience).
• Experience with large language models (LLMs).
• Proficiency in Python.
• Experience with AI/ML frameworks (e.g., Unsloth, LLaMA Factory) and databases (e.g., Milvus).
• Understanding of LLMs, NLP, TTS, and retrieval-augmented generation.
• Excellent problem-solving, analytical, and communication skills.
• Strong communication skills for cross-functional teamwork.

FundPark is a fintech platform specialising in financing solutions for e-Commerce SME businesses. We believe that they are the backbone of the economy as they drive innovation and competition, create jobs, and contribute to economic growth. Unfortunately, traditional financial institutions often fail to serve their unique needs, leaving them without access to the working capital they need to grow and succeed.

At FundPark, we're here to change that. Powered by our proprietary credit model, cutting-edge technology, and real-time data, we provide efficient, effective, and flexible funding solutions specifically designed for e-Commerce SMEs to grow their businesses and take advantage of new opportunities as they arise. Our loan disbursement has already crossed US$5 billion empowering over 32,000 cross-border eCommerce SMEs trading with over 36 markets.

About the Role:

We are seeking a highly skilled and innovative AI Engineer to join our fintech organization and lead the development, implementation, and integration of cutting-edge Generative AI (Gen-AI) and Agentic AI technologies into various business scenarios. As an AI Engineer, you will play a critical role in transforming user experiences and operational models by leveraging AI-driven solutions to achieve measurable business results. This position goes beyond Proof of Concept (POC) and involves end-to-end ownership of AI initiatives, from ideation to production deployment, with a strong focus on collaboration, scalability, and knowledge sharing.

What you need to do:

Research & Development (R&D)

Conduct in-depth research on Generative AI and Agentic AI technologies to identify opportunities for innovation and application in fintech.

Explore emerging AI trends, frameworks, and tools to drive advancements in user experience and operational efficiency.

Prototype and experiment with novel AI algorithms, models, and architectures to address business challenges.

Business Scenario Application

Collaborate with business stakeholders to identify high-impact use cases for Gen-AI and Agentic AI across the organization.

Design AI solutions tailored to specific business scenarios, such as customer personalization, fraud detection, operational automation, and more.

Ensure alignment of AI initiatives with organizational goals and regulatory compliance requirements.

Pre-Requirement Clarification

Define and document prerequisites for successful AI adoption, including:

Data requirements: Identify necessary datasets, data quality standards, and preprocessing needs.

AI engine requirements: Evaluate and recommend appropriate AI platforms, frameworks, and tools.

Infrastructure requirements: Assess hardware, cloud services, and scalability needs

Work closely with data engineering and IT teams to ensure data availability and infrastructure readiness.

Implementation & Deployment

Plan and oversee the implementation of AI solutions into production environments, ensuring scalability, reliability, and security.

Collaborate with cross-functional teams, including software development, IT operations, and business units, to ensure seamless integration.

Monitor and maintain AI systems post-deployment, addressing issues and optimizing performance.

Knowledge Sharing & Collaboration

Conduct internal knowledge-sharing sessions to educate IT teams on AI technologies, methodologies, and best practices.

Create documentation, training materials, and guidelines to facilitate AI adoption across the organization.

Foster a culture of innovation and continuous learning within the IT team.

What you need to have:

Technical Skills

Strong expertise in Generative AI (e.g., GPT, DALL-E, Stable Diffusion) and Agentic AI (e.g., autonomous agents, reinforcement learning).

Proficiency in programming languages such as Python, Java, or R, and frameworks like TensorFlow, PyTorch, or Hugging Face.

Experience with AI model development, training, fine-tuning, and deployment.

Solid understanding of data engineering, data preprocessing, and data pipeline design.

Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes).

Knowledge of fintech industry standards, regulations, and security requirements.

Soft Skills

Strong analytical and problem-solving skills with a focus on delivering measurable business results.

Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

Ability to translate complex AI concepts into actionable insights for non-technical audiences.

Self-motivated, innovative, and adaptable to a fast-paced environment.

Experience

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

3+ years of experience in AI engineering, machine learning, or data science roles.

Proven track record of successful AI solution deployment in real-world business scenarios.

Why FundPark

Collaborate with a cohesive group of young entrepreneurs working towards peak performance

Led and inspired by a team of experienced and visionary industry leaders

An exclusive opportunity to be our part owner and share in the Company's growth and success through participating in our Employee Stock Option Plan

Join us at this exciting scale-up stage for ample development and career growth opportunities

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

Full-time

AI Engineer

Location: Hong Kong

Job Description:

MEGAZONE CLOUD is looking for a talented and hands-on AI Engineer with a strong focus on Generative AI (GenAI) to join our growing technical team. In this role, you will be responsible for designing, building, deploying, and maintaining advanced AI solutions powered by Large Language Models (LLMs). You will work with cutting-edge frameworks to build agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, and other innovative applications for our customers. If you are passionate about solving complex technical challenges and building robust, scalable Generative AI systems, we want to hear from you.

What You Will Be Doing:

• Generative AI Solution Development:
  Design, develop, and deploy sophisticated AI applications using LLMs. Apply advanced prompt engineering techniques, build and fine-tune solutions incorporating RAG, AI Agents, and other agentic AI patterns.
• Data Pipelines for GenAI:
  Design and implement data pipelines for GenAI systems. This includes text chunking, generating embeddings, indexing content, and managing vector stores / databases for efficient retrieval in RAG architectures.
• LLMOps & Automation:
  Build and manage robust, automated LLMOps pipelines for the continuous integration, delivery (CI/CD), and evaluation of LLM-based applications.
• System Integration:
  Work closely with software developers and solutions architects to integrate Generative AI capabilities and models into customer applications and business workflows.
• Performance Optimization:
  Optimize LLM-based applications and associated infrastructure for performance, scalability, and cost-effectiveness, with a focus on low-latency model inference.
• Collaboration & Innovation:
  Stay current with the latest advancements in Generative AI, including new models, frameworks, and agentic architectures, to drive innovation.
• Troubleshooting & Maintenance:
  Monitor, maintain, and troubleshoot production AI systems to ensure high availability and reliability.

Required Skills & Qualifications:

• Education:
  Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• Professional Experience:
  3+ years of hands-on experience in a software engineering role with a strong focus on building and deploying applications using Generative AI and LLMs.
• Programming Expertise:
  Strong programming skills in Python and proficiency with AI/ML libraries and frameworks.
• Generative AI & LLM Frameworks:
  Deep, hands-on experience with frameworks for building LLM applications such as LangChain, LlamaIndex, or Hugging Face Transformers, and a strong grasp of prompt engineering.
• LLMOps:
  Proven experience with MLOps/LLMOps principles and tools for managing the lifecycle of Generative AI applications.
• Cloud Platform Experience:
  Practical experience building solutions on at least one major cloud platform (AWS, Azure, or GCP), using services for compute, storage, and AI/ML.
• Problem-Solving:
  Strong analytical and problem-solving skills with the ability to write clean, maintainable, and efficient code.
• Language:
  Business fluency in both Cantonese and English is essential.

Ways to Stand Out From The Crowd:

• Advanced GenAI Experience:
  Deep expertise in building complex Agentic AI systems or advanced RAG pipelines.
• Experience with Agentic AI Frameworks:
  Familiarity with low-code or enterprise agentic AI frameworks such as Dify, n8n, Copilot Enterprise, or Gemini Enterprise.
• Professional certifications (e.g., AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Azure Certified AI Engineer).
• Strong experience with containerization and orchestration technologies (Docker, Kubernetes).
• Hands-on experience with Infrastructure-as-Code (IaC) tools like Terraform or AWS CloudFormation.
• Experience with vector databases (e.g., Milvus, OpenSearch, Pinecone).
• Proficiency in Korean or Putonghua (Mandarin).

Working arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)
Build Intelligent Systems from Model to UI - and Everything in Between

At BJAK, we're using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a AI Engineer, you'll bridge machine learning and software engineering to deliver real AI-powered features into users' hands.

This is a remote role based in Hong Kong, working closely with our Malaysia HQ and cross-functional regional teams. You'll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.

Why This Role Matters

• You'll be the critical link between AI models and user-facing experiences
• Your work will shape how millions of people interact with smart financial services
• You'll architect and deliver full-stack systems that combine backend, ML, and frontend layers
• You'll thrive in a lean, high-impact team where speed, ownership, and collaboration are everything

What You'll Do

• Build and deploy full-stack applications that incorporate ML models
• Work with data scientists and ML engineers to integrate models into scalable backend systems
• Develop APIs, backend services, and real-time data pipelines for intelligent features
• Design clean, performant, and intuitive UIs that surface AI insights to users
• Own the full development lifecycle - from architecture and testing to deployment and monitoring
• Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions
• Continuously improve the performance, usability, and reliability of AI-integrated applications

You'll Thrive Here If You.

• Own the outcome, you care about impact, not just lines of code
• Solve problems end-to-end, from data and systems to UI and user flow
• Build fast and iterate even faster, V1 out now beats V3 someday
• Move forward even in chaos, ambiguity, shifting priorities, and lean resources excite you
• Think like a founder - you don't wait to be told, you figure it out and ship
• Learn aggressively, new tools, frameworks, and failures fuel your growth
• Have the humility to learn from others and the drive to help them grow
• Bring energy, clarity, and execution - and raise the bar for your team every day

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field
• Strong proficiency in Python is a must
• 2 - 4 years of experience in full stack development (frontend + backend)
• Strong programming skills in JavaScript , React, or similar)
• Experience integrating ML models into production systems
• Familiarity with REST APIs, cloud deployment, and scalable architecture
• Comfortable working with SQL/NoSQL databases and distributed systems
• Strong grasp of software design patterns, testing, and debugging
• Must be based in Hong Kong and open to remote collaboration with international teams

Nice to Have

• Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving
• Familiarity with modern frontend stacks like , Vue, or TypeScript
• Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS
• Background in high-growth startups or agile product teams
• Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users

What You'll Get

• Competitive salary and performance-based bonuses
• Remote-first setup with flexibility to work from anywhere in Hong Kong
• High-impact, high-ownership role in a product-led AI company
• Flat structure - your ideas are valued, and your code is seen
• Fast-track growth with real visibility across engineering, data, and product
• Regional exposure across Southeast Asia and the chance to shape products at scale

About BJAK
BJAK is Southeast Asia's largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.

If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we'd love to hear from you.

Company Introduction

This role is under Deloitte Innovation Investment (Hong Kong) Limited (a Deloitte entity). You will be working in Hong Kong Science and Technology Parks to contribute to R&D activities in order to solve the existing technological issues.

Work You'll Do

• Responsible to research, identify, advocate, and execute Deloitte's interests across international and emerging life sciences organizations, with a specific focus on novel approaches in natural language processing, computer vision for medical imaging & autonomous systems, embedded & edge-AI, and other state-of-the-art capabilities.
• Responsible to plan and penetrating target technology areas and supporting AI integration and deployment.
• Plan and develop future research objective and proposals
• Work with experienced software engineers to develop and implement solutions
• Research and interpret patterns and trends
• Analyze and understand existing technological problems and issues to convert these insights into system requirements

Basic Qualification

• Master's or above preferred in STEM field, high proficiency in Artificial Intelligence, machine learning with research capabilities.
• Expert in traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of data science and statistical algorithms
• 2+ years of previous experience in managing technical or solutions teams and delivering complex AI/ML and analytics workloads
• 1+ years of experience in business and relationship development, proposal management and management of enterprise accounts or technical solutions in complex organizations
• Demonstrated ability to advise on a variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and technical requirements

The Company:
Our client is a Transport Operator known for safety and efficiency. They have a strong focus on digital transformation, utilizing cutting-edge technology to enhance operations and the customer experience. Currently, they are expanding the AI team, and have 2 headcounts below 

AI Engineer:

• Design and implement effective embedding strategies to optimize the performance of generative AI models
• Develop applications using frameworks like Lang Chain and LangGraph
• Create and maintain a library of optimized prompts, ensuring iterative refinement through user feedback loops
• Degree in Information Technology, Computer Science, or related disciplines
• 4-5 years in machine learning or AI, with at least 1 year in generative AI
• Hands-on experience deploying solutions on cloud platforms (AWS, Azure) and on-premises environments

AI Governance Analyst:

• Conduct risk assessments for AI use cases, including risks related to data, model output, infrastructure, usage context, and user impact
• Prepare regular reports on AI governance activities, compliance status, and risk findings
• Schedule and coordinate AI governance meetings and cross-functional discussions
• Bachelor's degree in business administration, Data Science, Statistics, or a related field
• Minimum 2 years of experience in administrative roles, preferably in AI governance, data governance, or compliance.

The Company:

Our client is a Transport Operator known for safety and efficiency. They have a strong focus on digital transformation, utilizing cutting-edge technology to enhance operations and the customer experience. Currently, they are expanding the AI team, and have 2 headcounts below 

AI Engineer:

• Design and implement effective embedding strategies to optimize the performance of generative AI models
• Develop applications using frameworks like Lang Chain and LangGraph
• Create and maintain a library of optimized prompts, ensuring iterative refinement through user feedback loops
• Degree in Information Technology, Computer Science, or related disciplines
• 4-5 years in machine learning or AI, with at least 1 year in generative AI
• Hands-on experience deploying solutions on cloud platforms (AWS, Azure) and on-premises environments

AI Governance Analyst:

• Conduct risk assessments for AI use cases, including risks related to data, model output, infrastructure, usage context, and user impact
• Prepare regular reports on AI governance activities, compliance status, and risk findings
• Schedule and coordinate AI governance meetings and cross-functional discussions
• Bachelor's degree in business administration, Data Science, Statistics, or a related field
• Minimum 2 years of experience in administrative roles, preferably in AI governance, data governance, or compliance.

Responsibilities

• Develop and deploy LLMs for NLP tasks like text generation and conversational AI.
• Fine-tune LLMs for business-specific applications and optimize performance.
• Collaborate with teams to integrate LLMs into production systems.
• Evaluate model performance (accuracy, latency, scalability).
• Build and maintain APIs for LLM applications.
• Stay updated on LLM/NLP advancements and ensure ethical AI practices.
• Develop tools to streamline LLM training and deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
• Extensive experience in developing and deploying large-scale AI systems, particularly LLMs
• Expertise in frameworks (e.g., PyTorch, TensorFlow) and programming languages (e.g., Python, C++)
• Strong understanding of natural language processing, language modelling, and transformer-based architectures
• Proven track record of delivering high-quality, scalable, and maintainable AI solutions
• Excellent problem-solving, analytical, and communication skills