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DBS · Guangzhou

# Applied AI Engineer / Architect

Guangzhou Operations 

Listed on DBS’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
[Apply on DBS’s careers site →](https://dbs.wd3.myworkdayjobs.com/DBS_Careers/job/Guangzhou-DTC/AI-Engineer---Architect_WD86765-1)

[OpenNash Jobs](https://jobs.opennash.com/) / [DBS](https://jobs.opennash.com/companies/dbs/) / Applied AI Engineer / Architect

## Job description

### Job Responsibilities

1.

### Leadership & Stakeholder Management Leadership

Act as the subject matter expert for Agentic engineering. Guide the overarching AI technology stack selection, system architecture design, and long-term engineering excellence.

### User & Requirement Alignment

Collaborate closely with product management and end-users to translate complex business workflows and user needs into concrete multi-agent requirements.

### Team Mentorship

Mentor and upskill engineering team members on LLM architectures, prompt engineering, asynchronous backend development, and AI engineering best practices. 2.

### Multi-Agent & LLM Engineering Agent System Design

Design and deploy Agents from 0 to 1. Own the architecture design, Tool/Function Calling implementations, multi-Agent collaboration protocols, and complex Workflow orchestrations.

### Framework Implementation

Leverage LLM ecosystems and SDKs to build robust corporate solutions using MCP and Agentic Workflows.

### AI Evaluation

Build and construct automated evaluation pipelines to validate non-deterministic agent behaviors, optimize decision-making accuracy. 3.

### Backend & Distributed Systems Infrastructure Production Services

Architect, develop, test, and deploy highly concurrent, high-availability, production-grade Web Services. Independently complete backend service infrastructure.

### System Optimization

Build and optimize high-performance distributed systems, driving system performance optimization and engineering excellence across the entire stack.

### DevOps & Deployment

Utilize containerization technologies like Docker and OpenShift to complete application deployment, scaling, and daily operations.

### Job Requirements

1.

### Experience & Track Record Experience

Approximately 10 years of professional working experience.

### AI Focus

The latest 4–5 years must be specifically dedicated to the AI domain, with a proven track record in LLM and Agent technologies Project Track Record: Must have 3+ years of hands-on AI-related experience, with active participation in at least 3 real-world production-grade deployment projects. At least 1 project must be a complex Multi-Agent, Agentic Workflow 2. Technical Skills & Tech Stack Languages & Core Backend: Expertise in Python, advanced asyncio, and FastAPI, with a proven track record of designing high-concurrency, high-availability backend architectures.

### AI & Multi-Agent Frameworks

Hands-on proficiency with LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, Google ADK, and Claude SDK LLM Core & Protocols: Deep understanding of model inference, Prompt Engineering, Tool/Function Calling, Model Context Protocol (MCP), and Agentic Workflows.

### DevOps & Infrastructure

Experience in distributed system development, building/maintaining complete CI/CD pipelines, and using containerization tools like Docker and OpenShift for deployment and operations.

### Location

Guangzhou (DTC)

### Job

Data Technology Schedule: Regular Employee Status: Full time

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 16, 2026
- Last checked: Oct 18, 2026
- Listed for: 94 days
- Location: Guangzhou[Apply on DBS’s careers site →](https://dbs.wd3.myworkdayjobs.com/DBS_Careers/job/Guangzhou-DTC/AI-Engineer---Architect_WD86765-1)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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