Top 3 Reasons To Join Us The Job

We are looking for an AI Agent / RAG Backend Engineer to build and operate production-level AI systems for: E-commerce chatbot (product search, recommendation, order flow), Enterprise document intelligence (ITB/DR matching, structured extraction). This role focuses on designing LLM-based agent systems, integrating external APIs, and building high-accuracy, low-latency AI services..

Job Description

Design and develop AI Agent-based systems for chatbot and enterprise automation.
Build multi-agent workflows integrating external APIs (product search, order, user data, etc.).
Develop and optimize RAG pipelines for document understanding and knowledge retrieval.
Integrate LLMs with tools/APIs using frameworks such as LangChain or LlamaIndex.
Implement session-based conversation systems (e.g., Redis-based state management).
Optimize LLM responses for: accuracy, latency, hallucination reduction.
Design and manage vector databases (FAISS, Pinecone, Weaviate).
Collaborate with frontend/backend teams for chatbot UX and API integration.

Your Skills and Experience

Requirements

3–7+ years of experience in AI/ML or backend development
Strong proficiency in Python
Hands-on experience with: LLM systems (RAG, Agents, tool calling), API integration
Experience with: LangChain / LlamaIndex or similar frameworks, Vector DB (FAISS, Pinecone, Weaviate)
Experience with Redis or session/state management systems
Understanding of prompt engineering and response optimization
Experience with AWS (EC2, S3, etc.)

Preferred Qualifications

Experience building chatbot or conversational AI systems
Experience with multi-agent architecture and tool-based reasoning
Experience with document-based RAG systems
Experience with: ranking / scoring / confidence evaluation, structured output generation from LLM
Understanding of microservice architecture
Experience optimizing API latency and system performance

Tech Stack

Language: Python
AI/LLM: OpenAI, LLaMA, Mistral
Framework: LangChain, LlamaIndex
Vector DB: FAISS, Pinecone, Weaviate
Infra: AWS (EC2, S3)
Cache/State: Redis

Why You'll Love Working Here

Lương cao thỏa thuận theo năng lực và tinh thần làm việc
Review lương 1-2 lần/ 1 năm
Thưởng tết, quà sinh nhật, cafe, đồ ăn, trang thiết bị làm việc đầy đủ
BHXH và phép năm theo luật lao động
Môi trường thân thiện, dễ phát huy năng lực, học hỏi được nhiều công nghệ mới

Benefits

Lương cao thỏa thuận theo năng lực và tinh thần làm việc
Review lương 1-2 lần/ 1 năm
Thưởng tết, quà sinh nhật, cafe, đồ ăn, trang thiết bị làm việc đầy đủ
BHXH và phép năm theo luật lao động
Môi trường thân thiện, dễ phát huy năng lực, học hỏi được nhiều công nghệ mới

AI/ML Developer Python, LLM, Redis, LLM

Job Description

Benefits