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

Temasek; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Temasek Holdings in Singapore seeks an experienced AI engineer to build agentic AI solutions in collaboration with investment and operations teams. You will work directly with users to understand needs, prototype, and bring capabilities to production.

You will design end-to-end agent orchestration, tool calling, RAG, and enterprise data integrations, balancing performance, cost, and safety. Strong software skills and production-ready delivery are required.

Qualifications

• 7–10 years of engineering experience, with at least 3 years in AI/ML engineering and hands-on delivery of LLM-powered products in production.
• Track record of building products directly with end users: discovery, prototyping, and iterating based on feedback.
• Production-grade code across the stack: Python (FastAPI) and TypeScript (React/Next.js), with cloud deployment, containers, and CI/CD.
• Hands-on experience with agentic frameworks and SDKs such as LangGraph, Claude Agent SDK, or OpenAI Agents SDK, plus LLM evaluation and observability tooling.
• Comfort working with senior professionals without a PM in the room, and the ability to challenge requests when needed.
• Curiosity about investment and operations domains and willingness to learn deeply.
• Clear communication with engineers and non-technical users.

Responsibilities

• Collaborate with investment and operations teams to understand workflows and shape problems before building.
• Prototype quickly in front of users and iterate based on feedback, moving from prototype to production.
• Design and build end-to-end agentic AI systems: orchestration, tool calling, retrieval, UIs, and enterprise data integrations.
• Establish evaluation sets, test cases, and guardrails with domain experts’ input.
• Run production systems with strong observability, robust testing, and safe failure modes with escalation paths.
• Monitor adoption post-launch and identify areas for improvement and scaling.
• Create reusable components and tools for Temasek MCP server ecosystem.
• Explain trade-offs in accuracy, latency, cost, and limitations to non-technical stakeholders.

Skills

AI/ML engineering

Production-grade code

Python

TypeScript

Cloud deployment

CI/CD

LLM evaluation

Observability tooling

Tools

LangGraph

Claude Agent SDK

OpenAI Agent SDK

Job description

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

Location: SG, 238891

Group: Corporate Group

Department: Technology

Section: Digital Technology

Job Type: Permanent

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

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.