Assistant Vice President/Vice President, Full Stack Agentic AI Engineer

Temasek; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Temasek is seeking an experienced AI engineer to build agentic AI systems in collaboration with investment and operations teams in Singapore. You will prototype with users, scale solutions to production, and ensure measurable impact on decision-making processes.

You will spend time with users to understand workflows, then design, implement, and deploy end-to-end AI products, including orchestration, tool calls, retrieval, and enterprise data integrations.

Qualifications

• 7–10 years of engineering experience, with at least 3 years in AI/ML engineering.
• Proven track record delivering end-to-end LLM-powered products in production.
• Experience building products with end users from discovery to production.
• Strong full-stack coding: Python (FastAPI) and TypeScript (React/Next.js).
• Experience with CI/CD, cloud deployments, and containers.
• Hands-on experience with agentic frameworks and SDKs.
• Ability to work with senior professionals without a PM in the room and push for better solutions.
• Curiosity about how investment and operations work, with domain learning.
• Clear communication with engineers and non-technical users.

Responsibilities

• Work with investment and operations teams to understand workflows and shape problems before building.
• Prototype quickly in front of users and iterate on feedback to production-ready solutions.
• Design and build agentic AI systems end to end: orchestration, tool calling, retrieval, UI integrations.
• Build evaluation sets, test cases, and guardrails with domain experts.
• Run what you build in production with strong observability and safe failure paths.
• Own adoption after launch by tracking usage and improvements.
• Turn repeatable patterns into reusable components for Temasek MCP server ecosystem.
• Explain trade-offs (accuracy, latency, cost, limitations) in user-friendly terms.

Skills

Python

FastAPI

TypeScript

React

Next.js

CI/CD

LangGraph

Claude Agent SDK

OpenAI Agents SDK

LLM evaluation

Observability

Tools

LangGraph

Claude Agent SDK

OpenAI Agents SDK

Job description

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term. We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg For Temasek Review 2026, please visit www.temasekreview.com.sg For Sustainability Report 2026, please visit www.temasek.com.sg/SR2026

Introduction

We are looking for an experienced AI engineer who builds solutions together with the people who use them. You will work directly with Temasek’s investment and operations teams: understanding how they work, shaping problems with them, prototyping in front of them, and taking what works all the way to production.

You will spend a significant share of your time with users, and the rest building and running the agentic AI systems behind those solutions. These are systems professionals depend on for real decisions.

Responsibilities

• Work alongside investment and operations teams to understand their workflows and decisions first‑hand, and shape each problem with them before building.
• Prototype quickly in front of users and iterate on their feedback, taking solutions from first prototype to reliable production.
• Design and build agentic AI systems end to end: agent orchestration, tool calling, retrieval (RAG), user interfaces, and integrations with enterprise and investment data systems.
• Build evaluation with users, turning domain experts’ judgement into evaluation sets, test cases, and guardrails.
• Run what you build in production, with strong observability, testing suited to non‑deterministic systems, and safe failure with clear human escalation paths.
• Own adoption after launch: track usage, see where solutions fall short, and keep improving them.
• Turn repeatable patterns into reusable components, including new tools for Temasek’s MCP server ecosystem.
• Explain technical trade-offs (accuracy, latency, cost, limitations) in terms users can act on.

Requirements

• 7–10 years of engineering experience, including at least 3 years in AI/ML engineering, with hands‑on delivery of LLM‑powered products in production.
• A track record of building products directly with end users: running discovery, prototyping with them, and changing direction based on what you learn.
• Production‑grade code across the stack: Python (e.g. FastAPI) and TypeScript (e.g. React, Next.js), with working knowledge of cloud deployment, containers, and CI/CD.
• Hands‑on experience with agentic frameworks and SDKs such as LangGraph, the Claude Agent SDK, or the OpenAI Agents SDK, plus LLM evaluation and observability tooling.
• Comfort working with senior, time‑pressed professionals without a PM in the room, and the confidence to challenge a request when there is a better solution.
• Curiosity about how investment and operations work, and a willingness to learn the domain deeply.
• Clear communication with engineers and non‑technical users alike.
• Calm, sound judgement when the stakes are high.