Senior Agentics AI Engineer

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As an Agentics AI Engineer, you will collaborate closely with AI Researchers, Data Scientists, and Software Engineers to build autonomous systems capable of reasoning, planning, using external tools, and collaborating with other agents to achieve complex goals. Your responsibilities will include:Model Development: Developing, and fine-tuning models using state-of-the-art AI algorithms and techniques mostly for agentic systems, encompassing computer vision and NLP.Research and Experimentation: Experimenting with state-of-the-art AI model architectures in mult-imodal fields and approaches to enhance the performance and accuracy of existing products. Stay at the forefront of cutting-edge developments in AI and apply them to real-world projects.Data Preprocessing: Working on data preprocessing, feature engineering, and data augmentation to optimize and improve model training processes.Integration: Developing API interfaces for model interaction, closely collaborating with software engineering teams to integrate and deploy generalized AI models into real-world applications and systems. This will enhance customer interaction, automate processes, and improve decision-making capabilities. Your Skills and Experience Job Requirement:Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.Experience in building with Multimodal (LLM/VLM or speech) agentic systems using Langchain, LLamaIndex or any popular agentic platforms Proven experience in developing and fine-tuning machine learning models for computer vision and natural language processing including Data preparation, model fine-tuning and deployments. Experience with prompt engineering or context engineering.Knowledge of Vector Databases (Pinecone, Weaviate, Milvus, or pgvector) for RAG and long-term memory.Building an LLM/VLM model as a core model of the RAG components that achieved a high ranking on Vietnamese/English datasets is an advantage.Experience in optimize AI or LLM/VLM models is a plus.Experience in deployment in serve platform suchs as vllm or Nvidia Dynamo is a plusDevOps/MLOps: Proficiency with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) is a plusEvaluations: Experience with frameworks like LangSmith or Arize Phoenix to debug and evaluate agent performance. Soft skills Requirement: Systems Thinking: Ability to visualize complex, non-linear workflows and "loops."Problem-Solving: Strong debugging skills for non-deterministic systems Ethics & Security: A "safety-first" mindset regarding autonomous actions Why You'll Love Working Here QUYỀN LỢI CHUNG KHI GIA NHẬP VINSMART FUTURE• Thời gian làm việc, chấm công linh hoạt (Work from home vào thứ 7 làm việc).