
AI Engineer
1 week ago
Key Responsibilities
- Participate in the development and integration of advanced large language model (LLM) projects;
- Design and implement model research, fine-tuning, or deployment pipelines based on Transformer architecture;
- Build agentic AI systems that combine memory, tools, APIs, and reasoning to solve real-world tasks;
- Work closely with product and engineering teams to deploy AI applications in enterprise environments;
- Stay updated with the latest advances in foundation models (e.g., OpenAI, Gemini, Deepseek, Anthropic), and help translate research into product innovation.
Requirements
Education & Background
- Master's or Ph.D. degree in Computer Science, AI, or a related technical field;
- Fresh graduates from NUS, NTU, SMU or equivalent top institutions are encouraged to apply;
- EP sponsorship is available for qualified overseas candidates.
Technical Skills
- Solid understanding of Transformer-based LLM architectures, fine-tuning, or retrieval-augmented generation (RAG);
- Experience with AI frameworks such as PyTorch or TensorFlow;
- Proficient in programming languages such as Python (preferred) or Java;
- Familiarity with AI agent frameworks (e.g., LangChain) and tools such as Cursor, WindSurf, etc.;
- Experience with cloud platforms like AWS or Azure is a plus.
Other Qualities
- Strong analytical and communication skills;
- Self-motivated with a passion for innovation and emerging technologies;
- Ability to work independently and deliver high-quality code and ideas.
TensorFlow
Sponsorship
Product Innovation
Azure
Ability To Work Independently
Pipelines
Technology Development
AWS
Windsurfing
Wireless
Keras
PyTorch
Networking
Python
Firmware
Transformer
Java
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