AI Engineer (Fluent in Mandarin & English)
Tasks
- Build real time AI pipelines with WebSockets and SSE
- Build retrieval augmented generation systems with vector databases
- Deploy and orchestrate models in Kubernetes
- Implement quantization caching and efficient batching
- Manage semantic search for RAG applications
- Monitor secure and scale AI microservices
- Optimize inference pipelines for low latency
- Train and fine-tune large language models
- Write maintainable Python code with unit and integration testing
Perks/Benefits
- Annual leave
- Employee assistance program
- Employee share purchase plan
- Hybrid working
- Learning and development
- Life assurance
- Pension scheme
- Private medical cover
- Subsidised gym membership
Skills/Tech-stack
Batching | CI/CD | CUDA | Caching | Docker | GPU Architecture | Integration Testing | Kubernetes | Language Models | Large Language Models | Layout analysis | Linux | LoRA | MLOps | Multimodal extraction | OCR | PEFT | Prompt engineering | Python | QLoRA | Quantization | Retrieval-Augmented Generation | SSE | Semantic Search | TGI | Triton | Unit Testing | VLLM | Vector Databases | WebSockets
Education
N/A
Roles
AI | AI Engineer | Engineer
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