AI Engineer

Top 3 Reasons To Join Us The Job 1.Job Overview We are seeking talented AI Engineers to join our team in the Banking sector. This role is a hybrid of technical development and solution implementation. You will not only develop and optimize AI models but also play a critical role in analysing business requirements, evaluating third-party solutions, and coordinating with stakeholders to deploy AI initiatives effectively. 2.Key Responsibilities 2.1 AI Development & Optimization Model Development and Optimization : Build, fine-tune, and optimize Machine Learning/Deep Learning models to achieve high performance in accuracy and latency while ensuring system stability and cost efficiency. Cross-Platform Deployment : Deploy models across different operating systems and environments, including edge devices; convert models into formats compatible with specialized AI hardware. GenAI Application Development : Design and develop generative AI solutions for language processing, content generation, and workflow automation; integrate advanced information-retrieval techniques to enhance system accuracy and consistency. AI Monitoring and Continuous Improvement : Establish mechanisms to monitor, diagnose, and continuously improve the performance of ML/DL and GenAI applications within enterprise environments. 2.2 AI Implementation & Project Coordination Collaborate with business units to gather requirements and translate them into technical AI specifications. Evaluate AI solutions from external partners/vendors; assess their technical feasibility, security, and scalability for the banking ecosystem. Lead the integration of AI models (internal or third-party) into existing banking software and infrastructure to ensure seamless operation. Coordination & Reporting: Act as a bridge between the technical team and business stakeholders; manage project timelines, report progress, and coordinate resources for successful delivery AI in organization. Your Skills and Experience Qualification Requirements Education & Experience Bachelor’s degree in Information Technology, Computer Science, Artificial Intelligence, or a related field; graduated with a Good classification or higher. 2.5+ years of experience as an AI Engineer, Data Scientist, or Solution Engineer. 2. Technical Skills (Hard Skills): Proficient in Python and familiar with ML/AI frameworks (PyTorch, TensorFlow, etc.). Hands-on experience with LLM ecosystems (OpenAI, LangChain, LangGraph, Vector Databases). Experience in model deployment and optimization (TensorRT, quantization, edge deployment) is a strong plus. Knowledge of Cloud services (AWS/Azure) and API integration. 3. Implementation & Soft Skills Analytical Thinking: Ability to analyze business problems and propose practical AI solutions. Communication: Strong verbal and written communication skills in Vietnamese and English to work with cross-functional teams and report to management. Project Mindset: Experience in coordinating tasks, managing timelines, and working with external vendors is highly preferred. Adaptability: Ability to research new technologies rapidly and apply them to banking use cases (Fraud Detection, Chatbots, Recommendation Systems, etc.). Why You'll Love Working Here 1. Attractive Compensation & Benefits Competitive monthly salary and allowances aligned with the market. Performance-based year-end bonus. Additional bonuses for birthdays, public holidays, Tet, and employee welfare programs. Comprehensive healthcare package, including annual health check-ups and SHB Care health insurance. Team-building activities, internal cultural and sports events to foster employee engagement. Company trips twice a year. 2. Modern & Innovative Working Environment A young, dynamic, and modern workplace that encourages creativity and innovation. An empowering work culture with autonomy, flexibility, and a forward-thinking mindset. Diverse learning and development programs to support both professional and personal growth.