AI Engineer

Location

Job Scope

Generative AI Experimentation

• Design and execute experiments on Large Language Models (LLMs) to build autonomous agents and intelligent fintech workflows.
• Design rapid prototypes and proof-of-concepts (PoCs) to test the feasibility of new AI architectures and technologies.
• Optimize LLM inference and RAG (Retrieval-Augmented Generation) pipelines for cost, accuracy, and latency.
• Evaluate the latest AI/LLM open-source developments and industry advancements, translating them into viable product features.

AI Systems Engineering & Deployment

• Design, build, and deploy robust, scalable machine learning and Generative AI models into production environments.
• Partner with engineering teams to seamlessly integrate successful experimental models into our scalable LaaS platform.
• Implement and maintain MLOps best practices for continuous integration, testing, deployment, and monitoring of AI models.
• Enhance system robustness through rigorous A/B testing, latency optimization, and validation frameworks.

Other Duties

• Perform other related duties and ad-hoc tasks as assigned by the management to support the department's goals.

Requirements

Technical Skills

• Malaysian citizen with a Bachelor’s or Master’s degree in Data Science, AI, Computer Science, Statistics, or a related field.
• 1 - 4 years of experience in data science, with a strong portfolio of research projects or experimental modelling.
• Advanced proficiency in Python and SQL.
• Experimental Mindset: Demonstrated ability to set up experiments, track metrics, and draw statistical conclusions.
• Plus: Familiarity with cloud platforms (AWS, GCP) and containerization (Docker).

Professional Competencies

• Intellectual Curiosity: A strong desire to dig deep into "why" a model behaves the way it does, not just "how" to deploy it.
• Communication: Ability to explain experimental results and technical trade-offs to non-technical stakeholders.
• Resilience: Comfortable with the ambiguity of research work where experiments may fail before they succeed.