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

**Location:**SG, 238891 Group: Corporate Group Department: Technology Section: Applications, Data & Digital Job Type: Permanent Req ID: 12085 Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion.

Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations.

Operating on commercial principles, we seek to deliver 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 2025, please visit www.temasekreview.com.sg.

For Sustainability Report 2025, please visit https://www.temasek.com.sg/content/dam/temasek-corporate/sustainability/2025/Temasek-Sustainability-Report-2025.pdf.

Introduction

Agentic AI engineering is a frontier discipline that requires both deep AI system knowledge and the full-stack engineering rigour to ship production-grade systems that operate reliably at enterprise scale. Building an agent that works in a notebook is table stakes; building one that handles edge cases gracefully, integrates securely with enterprise systems, and can be monitored and maintained by a team is the real engineering challenge.

The Full Stack Agentic AI Engineer at Temasek is a hands-on builder responsible for designing, building, and operating AI-powered products and agent workflows across Temasek's investment and operations functions. You will work end-to-end — from LLM integration and agent orchestration through to front-end interfaces, API integrations, and production monitoring — with a relentless focus on reliability, observability, and user experience. You will be building systems that investment professionals and operations teams depend on for real decisions, not demos. Responsibilities Agentic AI system engineering

• Design and implement multi-step agentic AI workflows, including agent orchestration (single-agent and multi-agent coordination), tool-calling architectures, memory and state management, and planning and reasoning loops using frameworks such as LangGraph, AutoGen, or custom orchestration.
• Build production-grade RAG (Retrieval-Augmented Generation) pipelines, including document ingestion and chunking strategies, embedding generation and management, vector store integration (Pinecone, Weaviate, pgvector, or equivalent), and semantic or hybrid retrieval architectures.
• Implement robust tool and API integration layers that enable AI agents to safely interact with enterprise systems (e.g. investment data platforms, portfolio management systems, market data APIs, internal knowledge bases), with appropriate access controls, rate limiting, and error handling.
• Engineer agent prompting and context management systems, including system prompt architecture, dynamic context construction, prompt versioning, and evaluation-driven prompt optimisation using automated and human evaluation frameworks.
• Contribute to the design and extension of Temasek's MCP (Model Context Protocol) ecosystem by building reusable tool connectors and well-documented integrations. Requirements Experience and background
• 4–8 years of software engineering experience with strong full-stack depth and at least 2 years focused on AI/ML system engineering — ideally building and operating agentic AI or LLM-powered products in production.
• Hands-on experience with modern agentic AI frameworks: LangChain, LangGraph, AutoGen, CrewAI, or equivalent; strong fa