To assist in collaborating with different business units and stakeholders to identify operational challenges and determine how AI can address these issues or optimize workflows.
To assist in providing technical support to end users to ensure effective adoption of new AI tools and platforms.
Other duties that may occasionally be assigned by the Management.
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You will build and operate the platform's reliability and governance layers: distributed rate limiting and tiered capacity isolation on Redis, API key and OIDC/workload-identity authentication, and token-level usage logging, cost computation, and chargeback pipelines integrated with PostgreSQL and the data lake.
You will manage CI/CD and cloud resources (AWS/GCP/Azure), Kubernetes deployments, database migrations, and configuration across staging and production environments, including platform migrations such as moving the gateway to Grab's standardized EKS stack.
You will champion test-driven development and "shift-left" quality. Write tests first, mentor junior engineers, and foster a platform-thinking culture so that reliability, cost accountability, and security are designed in, not bolted on.
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Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
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Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
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