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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.
Job Responsibility:
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:
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
3+ years of experience
Bachelor’s Degree
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
What we offer:
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