AI Engineer: LLM & Full-Stack Systems Architect

ALLEN & GLEDHILL LLP; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Allen & Gledhill LLP in Singapore seeks an AI Engineer to join the Information Systems team to develop intelligent applications and LLM-based solutions.

You will apply full-stack skills in Python, React, and TypeScript, deploy on cloud and on-premises with Kubernetes, and ensure security practices throughout the lifecycle. The role offers collaboration with cross-functional teams and exposure to cutting-edge AI.

Qualifications

• This role requires a Bachelor's Degree or equivalent in CS/IT/Engineering.
• Minimum 2 years of full-stack development and AI/ML engineering experience.
• Proficiency in Python, React, and TypeScript.
• Experience deploying LLM-based solutions and Kubernetes.
• Knowledge of security and compliance in a legal tech context is a plus.

Responsibilities

• Design, develop, and deploy intelligent applications and LLM-based solutions.
• Maintain, test, and debug existing code; refactor for 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

Skills

Full-stack development

Python

React

TypeScript

AI/ML engineering

Kubernetes

LLM deployment

Security/compliance

Problem solving

Learning agility

Education

Bachelor's Degree / Postgraduate Diploma in Computer Science / Information Technology / Engineering

Tools

Python

React

TypeScript

Kubernetes

LLM deployment

Cloud platforms

On-premise deployment

Job description

Allen & Gledhill LLP in Singapore seeks an AI Engineer to join the Information Systems team to develop intelligent applications and LLM-based solutions.

You will apply full-stack skills in Python, React, and TypeScript, deploy on cloud and on-premises with Kubernetes, and ensure security practices throughout the lifecycle. The role offers collaboration with cross-functional teams and exposure to cutting-edge AI.