AI Engineering Jobs in Singapore
There are 492 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%
- api 48%
- agentic-ai 47%
- rag 41%
How the work is done
- Hybrid 29 · 6%
- Remote 18 · 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 35
- 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
Forward Deployed AI Engineer (Consulting)
Design, build, deploy, and optimise AI/ML solutions for global clients as a Forward Deployed AI Engineer at a top-tier consultancy, working with Python, cloud platforms (AWS/Azure/GCP), and MLOps workflows with 50% travel across APAC.
AI Engineer
AI Engineer embedded in corporate functions (HR, Finance, Legal, etc.) to identify pain points and build AI-powered solutions using LLMs, automation platforms, prompt engineering, and no-code/low-code tools.
AI Engineer - Process Automation (Marine)
Design and implement intelligent process automation solutions for marine engineering workflows, leveraging RPA, machine learning, Power Platform, and Power BI to drive digital transformation.
EDB-IPP Project: LLM Model Compression and Acceleration
PhD researcher (EDB-IPP programme) focused on LLM model compression and acceleration—developing quantization, pruning, knowledge distillation, and inference optimization techniques using PyTorch for large language, multimodal, and diffusion models.
AI Engineer – Capital Markets
AI Engineer building end-to-end AI-enabled solutions for Capital Markets, leveraging Agentic AI platforms (DIFY, Google ADK, LangStack), prompt engineering, and containerized DevOps environments.
Senior AI Engineer - AI Agents / RAG / Fine-Tuning
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
AI Engineer (Banking Sector)
AI Engineer designing and developing AI-powered solutions (using Claude Design and Agentic AI tools) for banking/capital markets clients, partnering with business users and dev teams to take solutions from discovery through to operationalization.
Customer Success AI Engineer
The Customer Success AI Engineer will lead technical presales, develop agentic AI applications, and scale AI prototypes into production-ready enterprise systems. The role involves direct customer engagement and collaboration with engineering teams to deliver integrated AI solutions.
GenAI Engineer
Builds and deploys LLM-based automation solutions for trading/operations workflows in commodities/energy finance, collaborating with stakeholders to design agentic AI workflows and production-ready AI components.
Lead AI Engineer
Lead a team to build and scale Airwallex’s AI assistant, Kai, designing agentic architectures, retrieval systems, and evaluation pipelines to deliver trusted, production-grade AI features for global fintech workflows.
Applied AI Engineer
The Applied AI Engineer will build and deploy end-to-end AI features by integrating machine learning models into production systems. The role involves optimizing model performance, designing agent workflows, and ensuring reliability using technologies like Python, PyTorch, JAX, and LLMs.
AI Engineer (Enterprise Automation)
Designs and deploys AI-powered automation agents to streamline enterprise workflows using Python, SQL, and Microsoft Power Platform on Azure.
AI Software Engineer***
This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
AI Engineer
Build production-grade AI solutions and LLM applications in Python, integrating APIs and optimizing performance on AWS for a global investment fund.
System Analyst (GenAI)
Design and implement GenAI and Agentic AI solutions across UOB's banking business units, translating AI platform capabilities into practical banking use cases while ensuring security, compliance, and value realization.