jobs in KANEZE INTERNATIONAL GROUP PTE. LTD.

全职 AI Algorithm Engineer (LLM - RAG) 工作, 薪水 up to SGD 6,000, KANEZE INTERNATIONAL GROUP PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

AI Algorithm Engineer (LLM - RAG)

KANEZE INTERNATIONAL GROUP PTE. LTD.

SGD6,000 - SGD6,000 每月

Islandwide (Singapore)

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工作地点

  • Islandwide (Singapore) Singapore

职位描述

岗位职责

Job Summary

We are seeking a highly skilled AI Algorithm Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to design, develop, and optimize intelligent systems. The ideal candidate will work on cutting-edge AI solutions, improving model performance, and building scalable applications for real-world use cases.

Key Responsibilities

  • Design, develop, and optimize LLM-based applications and RAG pipelines
  • Build and maintain end-to-end AI systems, including data ingestion, embedding, retrieval, and generation
  • Fine-tune and evaluate large language models for domain-specific tasks
  • Implement prompt engineering, chain-of-thought strategies, and agent workflows
  • Develop vector search solutions using tools such as FAISS, Pinecone, or Weaviate
  • Optimize system performance (latency, accuracy, cost efficiency)
  • Collaborate with product managers, data engineers, and backend teams to deliver scalable solutions
  • Conduct experiments, A/B testing, and model evaluation using relevant benchmarks
  • Ensure AI systems comply with data privacy, security, and ethical standards

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field
  • 3–6 years of experience in machine learning, NLP, or AI engineering
  • Strong experience with LLM frameworks (e.g., OpenAI API, Hugging Face, LangChain, LlamaIndex)
  • Hands-on experience with RAG architecture and vector databases
  • Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Solid understanding of NLP, embeddings, and information retrieval techniques
  • Strong problem-solving skills and ability to work in a fast-paced environment

重要安全守则

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