JOB DESCRIPTION 

Overview

We are seeking a highly skilled Full Stack AI Engineer who can bridge the gap between AI model development and production deployment. This role requires expertise in both open-source AI frameworks and cloud service providers (AWS, GCP, Azure, etc.), ensuring that AI models are scalable, secure, and production-ready.

The ideal candidate will work across the full lifecycle: data processing, model training, evaluation, deployment, monitoring, and continuous improvement. You will collaborate with data scientists, backend engineers, and DevOps teams to bring cutting-edge AI solutions into production environments.

Key Responsibilities:

• Design, develop, and optimize AI/ML pipelines from experimentation to production.
• Build and deploy AI/ML models using open-source frameworks (PyTorch, TensorFlow, Hugging Face, etc.) and cloud-native ML platforms (AWS Sagemaker, Vertex AI, Azure ML, etc.).
• Develop APIs and microservices to serve AI models in production at scale (REST, gRPC, GraphQL).
• Implement CI/CD pipelines, MLOps best practices, and monitoring for deployed models.
• Ensure scalability, reliability, and security of AI applications.
• Collaborate with cross-functional teams (Data, Product, DevOps, Cloud) to integrate AI into business solutions.
• Stay updated with the latest AI, LLM, and cloud trends, and provide recommendations for adoption.

REQUIREMENTS

Must Have

• Strong programming skills in Python, JavaScript/TypeScript, or Java.
• Experience with AI/ML frameworks: PyTorch, TensorFlow, Hugging Face.
• Knowledge of backend frameworks (FastAPI, Flask, Node.js, or Django).
• Hands-on experience with cloud platforms (AWS/GCP/Azure) and their ML services.
• Experience in containerization & orchestration (Docker, Kubernetes).
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Prefect, etc.).
• Strong understanding of model serving (REST/gRPC endpoints, inference optimization).
• Proficiency with SQL & NoSQL databases for data handling.

Nice to Have

• Experience with LLMs and Generative AI deployment.
• Knowledge of LangChain, Vector Databases (Pinecone, Weaviate, FAISS).
• Experience in monitoring & observability (Prometheus, Grafana, ELK stack).
• Contribution to open-source AI projects.
• Experience in security and compliance for AI in enterprise environments.

Soft Skills

• Strong problem-solving and debugging skills.
• Ability to work independently and in cross-functional teams.
• Good communication skills in English (verbal & written).
• Proactive mindset with eagerness to learn and adopt new technologies.

JOB BENEFITS

• Salary: Negotiable
• Performance review: 2 times/year
• KPI bonus based on project and performance
• Extra package: 16 Mil /employee/year (Bonus at Tet, New Year, your birthday, CMC Corp’s birthday, 2/9 and Tet’s gift, Middle-Autumn gift, …)
• Opportunity to work in a professional, modern, and dynamic environment, take part in international projects
• Opportunity to get on-job training and promotion
• An excellent corporate culture with in/out of office activities that help to develop staffs ability and creativity
• CMC health care and social insurance

HOW TO APPLY

Please send your application via email: [email protected] 

*By submitting your application to [email protected], you acknowledge that you have read, understood, and agreed to CMC Global’s REGULATIONS ON THE PROTECTION OF CANDIDATES’ PERSONAL INFORMATION.