Overview

• Salary

  16,000 MYR ~ 25,000 MYR

• Industry

  IT/Telecommunications

• Job Description

  1. Continuously monitor and evaluate leading AI vendors, frontier models, and emerging AI technologies, assessing their capabilities, cost, context handling, and agentic performance. Provide clear recommendations on model suitability and adoption.
  2. Develop and implement a vendor diversification and resilience strategy by evaluating alternative AI vendors, model routing solutions, and self-hosted LLM options. Establish reliable fallback and switching mechanisms to reduce dependency on a single vendor.
  3. Build and maintain internal AI evaluation benchmarks based on real-world codebases and business scenarios to objectively measure and compare model performance.
  4. Take ownership of and continuously improve company-wide AI development workflows and best practices, including prompt and context engineering standards, agent configurations, code review and validation processes, and safety guardrails.
  5. Define and enforce AI security and compliance standards to prevent source code and sensitive data leakage, mitigate prompt injection risks, establish security review requirements for AI-generated code, and implement appropriate data masking and access controls.
  6. Build and maintain internal AI harnesses and developer tooling, including shared configurations, skills and plugins, evaluation scripts, and CI integrations, enabling engineering teams to adopt AI tools efficiently.
  7. Document AI development best practices, conduct technical training and knowledge-sharing sessions, and track AI adoption and developer productivity metrics across engineering teams.