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 You will be joining a cross-functional product team (i.e. engineers, designers, business analysts, product managers) that builds in-house analytics products strategic to Temasek's business. This team works closely with business stakeholders to leverage data and AI/ML in the areas of investment decision-making, talent management, workplace productivity etc.
Responsibilities - Working knowledge of modern AI/ML frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, Anthropic Claude API, HuggingFace)
- Hands-on experience building or working with agentic workflows and autonomous AI systems
- Understanding of prompt engineering techniques and LLM optimization strategies
- Familiarity with Retrieval-Augmented Generation (RAG) and vector databases
- Demonstrated ability to write clean, maintainable code with attention
- Take part in Agile activities like sprint planning, standups, reviews, retros etc.
- Collaborate with the team to come up with technical design, API contracts, DB schema etc. for new requirements
- Implement features or data transformations with focus on code readability, maintainability, and performance
- Write unit tests and integration tests for the above
- Communicate with the team regarding requirements, priority, blockers etc.
- Document processes that might be helpful for other team members
Requirements - Familiarity with orchestration frameworks for multi-agent systems
- Knowledge of embeddings, semantic search, and document processing
- Prior internship or project experience in production AI application
- Pursuing a Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, and/or related fields
- Development knowledge and experience in Python, SQL, Pandas
- Strong communication skills
- Ability to work with minimal supervision
- Please state your availability clearly in your resume/CV (Start date, End date)