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
1.84 Robotics AI Engineer
Design and deploy AI algorithms for robotics autonomy, integrating perception, planning, and control systems in Python/C++ and ROS/ROS2 for real-world deployments in construction, security, and mining.
Robotics AI Engineer Intern
Develop AI-driven features for humanoid robots, integrating vision-language models and simulation tools like NVIDIA Isaac Sim to process sensor data and plan robotic tasks.
AI Engineer
Build and deploy scalable AI systems that turn physical-world data into enterprise intelligence, optimizing energy and operations for industries like climate tech.
AI Engineer
Build AI-driven healthcare web apps using Vue.js, TypeScript/Python, and agentic orchestration systems to streamline hospital workflows and improve clinical data efficiency.
AI Engineer
Designs and builds AI models and algorithms, trains ML systems, and integrates AI features into products.
AI Engineer
Build autonomous AI agents and automation pipelines for an FMCG enterprise, integrating LLMs with enterprise systems using RAG and Azure AI tools to handle pricing, sales, and operations workflows.
AI Engineer (Azure AI Solutions)
Design and deploy AI-powered solutions using Microsoft Azure AI services, building scalable models and integrating them into enterprise applications.
Robotics AI Engineer
Design and deploy AI algorithms for robot perception, planning, and control in unstructured environments using Python/C++ and ROS/ROS2.
Applied ML / AI Engineer
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Applied AI, Software Engineer
Build full-stack AI-powered applications integrating LLMs and GenAI systems for enterprise customers, collaborating with teams to deploy production-ready solutions.
Azure AI Engineer (Azure AI Foundry & Gen AI)
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Senior GenAI Forward-Deployed Engineer (Data & AI)
Build and deploy GenAI systems for enterprise customers, focusing on Text-to-SQL and semantic data modeling to scale AI solutions on Google Cloud.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Software Engineer, AI Engineer (Manufacturing)
Develop Python tools and AI integrations on NVIDIA Omniverse for industrial digital twins, automating inspection and simulation in manufacturing workflows.
AI Engineer (Generative AI
Build and deploy generative AI applications using LLMs and modern AI frameworks like TensorFlow or PyTorch.
Robotics AI Engineer
Build and deploy reinforcement-learning policies that control a real humanoid robot, iterating quickly from simulation to physical hardware.
AI Engineer (AI Agent）
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
Client-Facing Data & AI Engineer - GenAI & RAG Solutions
Build and deploy GenAI and RAG solutions for enterprise clients, bridging technical delivery with business needs in a hybrid role.