Full Time AI Engineer Jobs, salary up to SGD 4,000 in ALLEN & GLEDHILL LLP - Ricebowl

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 of 2 years of working experience in full-stack development and AI/ML engineering roles.
• 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.