AI Engineering Jobs in Singapore
There are 493 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 47%
- api 47%
- rag 41%
How the work is done
- Hybrid 29 · 6%
- Remote 19 · 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
AI Engineer (LLM Applications & Agents)
Build and deploy LLM-powered applications, RAG systems, and AI agents for business workflows like merchant onboarding and compliance using Python/Java and microservices.
AI Software Engineer (1-year renewable) #IAC
Job Responsibilities Design, develop, and maintain AI applications (Python-based) and scripts supporting AI-related initiatives. Assist in building, testing, and integrating AI/ML-powered features and…
Senior Gen AI Engineer / Developer
Designs and deploys enterprise-grade AI solutions for a financial institution, focusing on LLM engineering, RAG pipelines, and AI-driven automation using Python, LangChain, and vector databases.
AI Engineer / Senior Developer / Software (LLM) - ARTIFICIAL INTELLIGENCE
Design and build AI-powered workflows, RAG pipelines, and agentic systems using LLMs like Claude and Gemini, with Python scripting for API integration into products and internal tools.
Senior AI Engineer
Senior AI Engineer building Agentic AI use cases for Trading Surveillance, involving full-stack Python apps, RAG systems, vector databases, data pipelines, and multi-cloud AI infrastructure.
AI Engineer
Builds and deploys AI/ML solutions, including LLMs and agentic systems, managing pipelines from data to production while ensuring scalability and reliability.
[T06] AI Engineer (Permanent)
Build and deploy production-grade AI models for geospatial applications, leading ML system design, MLOps, and cross-team collaboration.
General AI Engineer
Design, develop, and implement GenAI solutions integrated with Azure and AWS platforms, working with LLMs, AI agents, and cloud services using Python and Java.
Senior GenAI Engineer
Build and improve production-grade GenAI applications using LangGraph/LangChain, integrating LLMs with enterprise systems and APIs. Core tech includes Python/Java, RAG, agentic workflows, and Kubernetes.
Applied AI Scientist
Lead end-to-end development of AI solutions—prototyping, fine-tuning vision/language/multimodal foundation models, and deploying agentic AI systems for enterprise clients—using Python and PyTorch.
AI Engineer (Ref 26551)
Leads AI/ML system design, development, and deployment for geospatial applications, focusing on scalable production models, MLOps, and cross-team collaboration to integrate AI into platforms.
[T03] AI Engineer [Central/North]
Lead the design and deployment of production-grade AI/ML solutions focused on geospatial applications, applying MLOps best practices and mentoring engineers using Python, PyTorch, scikit-learn, OpenCV, Docker, and API frameworks.
AI Engineer
Builds and optimizes an internal AI CodeGen platform to automate code generation, testing, and developer workflows using LLMs, RAG, and cloud infrastructure.
Backend Engineer (GenAI Platform)
Job Description We are seeking an experienced Backend Software Engineer with a strong software engineering foundation and a keen interest in Generative AI to join our expanding GenAI team. Why You'll Love Working…
Python Developer | Generative AI / AI-ML
The Python Developer will work on Generative AI and AI/ML projects, utilizing frameworks like PyTorch and LangChain. The role involves software engineering best practices including TDD and CI/CD pipelines.
AI Engineer
The AI Engineer will transform AI prototypes into scalable production systems by building training and inference pipelines. The role focuses on optimizing LLM performance and managing AI infrastructure using tools like Docker, Kubernetes, and PyTorch.
Senior Expert Backend Engineer (LLM, Big Data Product Application) - Data Infra Team
Architect and build production-grade LLM-powered data products (Text-to-SQL, dashboards, insights) for enterprise analytics at a large ecommerce company.