AI Engineer

Overview

We are looking for a skilled AI Engineer. The ideal candidate will not only be proficient in building and optimizing AI/ML models but also capable of developing backend APIs, packaging them into microservices, and deploying them to cloud environments using Docker or similar technologies.

Key Responsibilities

• Develop, train, and optimize AI/ML models to meet business requirements.
• Design and implement backend services and RESTful APIs to serve AI models.
• Containerize applications using Docker and manage microservice deployments.
• Deploy and maintain AI microservices on cloud platforms (AWS, Azure, GCP, or others).
• Collaborate with data scientists, backend engineers, and DevOps teams to ensure reliable and scalable solutions.
• Monitor system performance, perform debugging, and optimize runtime environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
• Minimum 3 years of experience in AI/ML Engineer
• Solid programming skills in Python (experience with frameworks such as FastAPI, Flask, or Django).
• Experience working with GenAI models, especially LLMs and vector embeddings
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience in backend API development and microservice architecture is a plus
• Hands-on experience with Docker and container orchestration tools (Kubernetes is a plus).
• Familiarity with CI/CD pipelines, version control (Git), and RESTful API design principles.
• Understanding of cloud platforms (AWS, Azure, or GCP) is a plus

Benefits

• Competitive base salary and KPI bonus.
• Attractive bonus program according to Company’s regulation.
• 100% of gross offer during probation period.
• Join full of insurance benefits as prescribed by Vietnamese Labor law after signing labor contract.
• Young, dynamic, professional working environment with its own corporate culture.
• Annually summer trip, teambuilding and company events.
• CMC Healthcare programs.
• 5 working days per week, from Monday – Friday.
• Opportunity to self-development training, encourage creativity and innovation
• A team of leaders and managers who value talent, helping employees maximize their capacity.