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Lenovo Hiring! Full Time Computer Vision -AI Engineer (Mandarin Speaker) in Selangor - Ricebowl

Computer Vision -AI Engineer (Mandarin Speaker)

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Working Location

  • Petaling Jaya Selangor Malaysia

Job Description

Responsibilities

Computer Vision/ AI Engineer (RAG, Multimodal AI, CV) (Mandarin Speakers Preferred)

Location: Malaysia

Experience: 1–4 years

Employment Type: Full-time

About the Role

We are looking for an AI / LLM Engineer with hands-on experience in building production-ready RAG and multimodal AI systems.

The ideal candidate should have experience working with LLMs, document AI, retrieval pipelines, vector databases, and multimodal workflows involving text, images, PDFs, or OCR-based systems.

This role requires practical engineering experience beyond tutorials or academic projects.

Requirements

Must Have

  • Minimum 1 year of full-time experience in AI/LLM engineering
  • Hands-on experience with:
  • Retrieval-Augmented Generation (RAG)
  • Multimodal AI / Vision-Language Models (VLMs)
  • LLM application development
  • Experience building or deploying:
  • document AI systems
  • chatbot/agentic workflows
  • OCR + LLM pipelines
  • semantic search systems
  • AI APIs/services
  • Strong Python skills
  • Experience with at least some of the following:
  • LangChain / LangGraph
  • Vector databases (ChromaDB, FAISS, Qdrant, Pinecone, etc.)
  • Open-source LLMs
  • FastAPI / Flask
  • Docker
  • Hugging Face
  • Prompt engineering
  • Experience working with:
  • PDFs
  • images
  • OCR
  • embeddings
  • reranking
  • retrieval pipelines
  • Mandarin communication skills preferred

Good to Have

  • Agentic AI workflows
  • GraphRAG / Knowledge Graphs
  • Evaluation pipelines / hallucination detection
  • GPU inference optimization
  • Cloud deployment (AWS/GCP/Azure)
  • CI/CD or MLOps exposure

Responsibilities

  • Design and develop RAG and multimodal AI applications
  • Build scalable AI pipelines for document and knowledge retrieval
  • Integrate LLMs with internal systems and APIs
  • Optimize retrieval quality, latency, and response accuracy
  • Work on production deployment, monitoring, and evaluation of AI systems
  • Collaborate with cross-functional teams to deliver enterprise AI solutions

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