AI Agent & RAG Systems Engineer

Lenovo; Kuala Lumpur; On-site; MYR 120,000 - 240,000; Full time

Job summary

Lenovo, a global technology leader, seeks an experienced AI Agent developer to design and implement enterprise-grade intelligent agents. You will lead RAG systems construction, prompt engineering, and integration with data APIs and data warehouses.

You will own end-to-end lifecycle from design to launch, optimizing architecture, recall, and accuracy while reducing hallucinations. Strong Python, FastAPI, and vector database expertise are required.

Qualifications

• Major in computer science or related fields is preferred, with a bachelor's degree or above.
• Proficient in using AI programming tools (Cursor, Copilot, GPT, Qoder, etc.), enhancing development efficiency.
• Proficient in Python; design of complex backend architectures; experience with FastAPI and design patterns.
• Strong code-writing, debugging, optimization, and engineering thinking; familiarity with Linux, Git, and Docker.
• Experience in developing RAG applications, QA systems, SQL auto-generation, or data analysis assistants.
• Familiar with AI Agent design patterns like ReAct, Plan-and-Execute, Reflection.
• Proficient with vector databases (Milvus, Chroma) and traditional databases (PostgreSQL, MySQL, Redis, Elasticsearch).
• Familiar with AI agent frameworks: LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or Agent Framework.
• Proficient in frontend basics (Vue/React) for UI or result display pages.

Responsibilities

• Application development of AI Agent.
• Build enterprise-level intelligent agent applications (data analysis assistants, reporting systems, knowledge Q&A, automation).
• Master construction of RAG systems, including prompt engineering, vectors, embeddings, and retrieval optimization.
• Implement task planning, dialogue management, intent recognition, tool invocation, and integration using LangChain, LangGraph, LlamaIndex, and Agent Framework.
• Independently complete the entire agent lifecycle from design to launch.
• Promote optimization of AI Agent architecture and performance.
• Implement Agent-to-Agent orchestration and multi-agent collaboration for agents.
• Convert natural language into data queries (SQL/DSL) and interface with data APIs and warehouses.
• Build BI capabilities with logical analysis, field mapping, indicators, exception handling, and result interpretation.
• Collaborate with data teams to optimize data calibers, indicators, and knowledge graphs.
• Use vector retrieval (Milvus/PGVector) + structured data queries to build a hybrid RAG.
• Improve recall, data context, reduce hallucinations, and increase answer accuracy.

Skills

Python

FastAPI

Linux

Git

Docker

SQL generation

RAG applications

LangChain/LangGraph

Education

Bachelor's degree or above

Tools

Milvus

Chroma

PostgreSQL

MySQL

Redis

Elasticsearch

Docker

Git

LlamaIndex

CrewAI

Job description

Lenovo, a global technology leader, seeks an experienced AI Agent developer to design and implement enterprise-grade intelligent agents. You will lead RAG systems construction, prompt engineering, and integration with data APIs and data warehouses.

You will own end-to-end lifecycle from design to launch, optimizing architecture, recall, and accuracy while reducing hallucinations. Strong Python, FastAPI, and vector database expertise are required.