AI Engineer (Mid Level)

Technical Skills 3+ years of professional experience in AI, Machine Learning with hands-on involvement in production AI systems. Strong practical experience in building and deploying machine learning models, including: ○ Strong hands-on experience in building, training, and deploying deep learning models for Natural Language Processing (NLP) tasks, including text classification, information extraction, and name entity extraction. ○ Practical experience with modern LLM frameworks and toolchains, such as DSPY, LangChain, or similar ecosystems, is highly preferred. Solid programming skills in Python, with experience using common ML libraries (e.g., NumPy, scikit-learn, Pytorch). Familiarity with RESTful APIs for integrating AI models into backend systems; hands-on experience with ONNX-based deployment or Rust-based inference services is highly advantageous. Ability to read technical papers and documentation in English; strong communication skills in Vietnamese; Japanese proficiency is an advantage. Professional Attributes Strong analytical and problem-solving skills with a data-driven mindset. Ability to balance model performance, system constraints, and delivery timelines. Comfortable working under guidance from senior AI engineers while independently handling well-defined tasks. Collaborative attitude, working effectively with cross-functional teams including Product, Engineering, and Data. Strong sense of ownership for model quality, reliability, and continuous improvement.