Lenovo Hiring! Full Time Al LLM Engineer in WP Kuala Lumpur - Ricebowl

Location: Malaysia
Experience: 1–4 years
Employment Type: Full-time

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.

• 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

• Agentic AI workflows

• GraphRAG / Knowledge Graphs

• Evaluation pipelines / hallucination detection

• GPU inference optimization

• Cloud deployment (AWS/GCP/Azure)

• CI/CD or MLOps exposure

• 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