Build and integrate APIs, data processing pipelines, and cloud‑based AI services.
Collaborate with product owners and engineering teams to translate requirements into functional AI solutions.
Optimize model performance, reliability, and cost through testing, tuning, and monitoring.
Ensure AI solutions follow security, quality, and deployment standards across environments.
Preferred skills
Hands-on experience in Python and Java
Familiarity with REST APIs and frameworks such as FastAPI, Flask, or similar technologies
Experience with LLM frameworks including LangChain, LangGraph, and n8n.
Knowledge of databases such as PostgreSQL and Cosmos DB
Practical experience with AWS cloud services, especially SageMaker and Bedrock
Strong knowledge of containerization and orchestration tools such as Docker, Kubernetes
Qualifications
Bachelor’s degree in Information Technology, Computer Science, or related fields.
Over 6 years of working experience.
At least 2+ years of experience in machine learning or AI, with a minimum of 1 year focused on generative AI technologies.
Proven hands-on experience with Large Language Models (e.g., Claude, Nova Pro, Qwen) and applications of Generative AI.
Expertise in prompt engineering with a track record of developing effective strategies.
Excellent interpersonal and communication skills, with the ability to collaborate effectively across teams.
Responsibilities
Core Delivery & Execution
Design, develop, test, and deploy software applications and system components.
Implement solutions that meet business, functional, and technical requirements.
Write clean, maintainable, and well‑documented code following coding standards.
Perform code reviews to ensure quality, consistency, and adherence to best practices.
Conduct unit, integration, and regression testing.
Troubleshoot, debug, and resolve technical issues across environments.
Quality & Compliance
Ensure all deliverables meet security, performance, and reliability standards.
Maintain compliance with architectural guidelines, governance frameworks, and technical standards.
Apply secure coding practices and support vulnerability remediation.
Supporting auditability and traceability of technical changes through proper version control and documentation.
Collaboration & Communication
Work closely with product owners, architects, QA, DevOps, and business stakeholders.
Provide technical input during requirement refinement and solution design.
Participate in agile ceremonies (stand‑ups, sprint planning, retrospectives).
Contribute to knowledge-sharing via documentation, wikis, playbooks, demos, and internal sessions.
At Sun Life, we’re driven by our Purpose: to help Clients build lifetime financial security and lead healthier lives. Across Asia, we cultivate a High-Performance, Caring Culture that empowers our people to achieve outstanding results, embrace continuous growth, and create meaningful impact. We succeed together by fostering an inclusive environment where wellbeing, collaboration, and accountability are equally valued.
Job Category
IT - Technology Services
Posting End Date
29/12/2026