Senior AI Engineer

An award-winning full service law firm, Allen & Gledhill LLP has been providing legal services to premier clients since 1902. One of the largest law firms in Singapore, Allen & Gledhill counts among its clients some of the most well-known local and multinational companies and financial institutions. We have positions for highly motivated and committed individuals to join our Firm: AI Engineer Job Description: This role will be part of the Information Systems team, focusing on the development and deployment of intelligent applications and Large Language Model (LLM) solutions. The candidate should possess a passion for creating intelligent applications, proven full-stack development experience, strong communication and organizational skills, be self-motivated and have an eye for details. This job description will be subject to periodic review and amendment in accordance with the needs of the Firm. Key responsibilities: Design, develop, and deploy intelligent applications and LLM-based solutions. Maintain, test, and debug existing code; refactoring code to ensure readability and maintainability. Perform full-stack development using Python, React, and TypeScript. Deploy and manage applications on both on-premise and cloud platforms, utilizing Kubernetes for orchestration. Integrate machine learning models into production environments. Ensure security best practices are embedded in the application lifecycle. Collaborate with cross-functional teams to define and implement innovative solutions. Keep abreast of current and emerging trends in artificial intelligence Job Requirements: Possess at least a Bachelor's Degree/Post Graduate Diploma/Professional Degree in Computer Science/Information Technology/Engineering, or equivalent. Minimum 2 years of hands-on experience in technical AI/ML projects, with deep expertise in Machine Learning (ML), Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI Proven proficiency in Python, React, and TypeScript. Demonstrable experience in deploying LLM-based solutions. Strong working knowledge of container orchestration, specifically Kubernetes. Demonstrated ability to learn new skills and technologies swiftly. Proficiency in critical thinking and problem-solving skills. Experience working with security infrastructure and compliance standards in a legal tech context is an added advantage.