AI Engineering Jobs in Singapore
There are 494 open AI Engineering jobs in Singapore on freehire right now. 171 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| SGD | year | SGD 106,250 | SGD 150,000 | SGD 181,875 | 10 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 96%
- python 71%
- llm 62%
- machine-learning 55%
- cloud 51%
- agentic-ai 48%
- api 47%
- rag 41%
How the work is done
- Hybrid 29 · 6%
- Remote 20 · 4%
- Onsite 15 · 3%
Visa sponsorship offered in 82% of the 55 postings that state a position on it.
Seniority
- Senior 91
- Lead 41
- Intern 36
- Staff 16
- C-level 11
- Junior 9
Who is hiring
- 1000+ employees 92
- 51-200 employees 22
- 501-1000 employees 21
- 11-50 employees 13
- 1-10 employees 3
- 201-500 employees 2
Data & AI Engineer Intern - Build Our Knowledge Engine
Build and maintain a knowledge engine by structuring raw data, cleaning datasets, and modeling relationships in the innovation ecosystem using AI.
Data AI Engineer Intern (Global Payment) - 2027 Start
Build and optimize a global payment data warehouse, pipelines, and AI apps (LLM agents, RAG, analytics) for ByteDance’s fintech business.
AI Engineer 2 (Data & AI Department)
Build and deploy AI/ML models for Singapore’s energy grid and regulatory needs, owning the full MLOps lifecycle from training to production monitoring and governance.
AI Research Intern: LLM Systems & Data Pipelines
Build and evaluate AI-driven systems, including LLMs, by implementing and stress-testing modern AI frameworks while processing unstructured data and automating workflows.
Growth AI Engineer: High-Impact Backend & AI Agents
Builds scalable Go backend services and data pipelines for TikTok’s growth infrastructure, integrating real-time analytics and A/B testing with AI-driven use cases.
Senior Cloud Data & AI Engineer
Design and build cloud-native data and AI platforms on AWS and Snowflake, owning pipelines and production deployments with Python/Java.
AI Engineer: ML & Vision Models, Data Pipelines
Build and deploy ML models and data pipelines using TensorFlow/PyTorch to power AI-driven software solutions.
Senior AI Engineer: Scalable ML & Data Pipelines
Build and scale AI/ML services and data pipelines in Python/Java, using Docker/Kubernetes and Flask/FastAPI to enable new AI capabilities.
Foundation Engineering, Backend AI Software Engineer, Associate, Singapore
Build and optimize AI-driven agentic systems to streamline the software development lifecycle, focusing on developer tooling and infrastructure at Goldman Sachs.
Core Engineering, Backend AI Software Engineer, Associate, Singapore
Build and manage AI-driven agentic systems to optimize Goldman Sachs' software development lifecycle, improving developer productivity and tooling.
Realtime Data & AI Software Engineer
Builds software for semiconductor production analytics, enhancing reporting and identifying process improvements using tools like SQL and Tableau.
Senior Data & AI Engineer
Build and deploy Python ETL pipelines, AI agent workflows, and cloud infrastructure to transform maritime data into actionable insights for the global shipping industry.
Assistant Manager, Data & AI (AI Engineer)
Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Assistant Manager, Data & AI — AI Engineer & Pipelines Lead
Leads engineering, deployment, and operations of AI applications and data pipelines to enhance guest experiences and staff productivity in a government-linked agency.
Backend Engineer (Generative AI)
Backend Engineer building scalable AI orchestration frameworks, RAG systems, and cloud-native AI services using Python, PostgreSQL, and vector databases to power enterprise-grade generative AI applications.
Backend Engineer, AI Systems & LLM Pipelines (Python)
Build and maintain production-grade backend systems for AI-enabled applications, focusing on high-throughput, low-latency distributed services and cloud-native development.