JOB DETAILS

AI Engineer / Architect

CompanyDBS Bank
LocationGuangzhou City
Work ModeOn Site
PostedJuly 16, 2026
About The Company
DBS is a leading financial services group in Asia with a presence in 19 markets. Headquartered and listed in Singapore, DBS is in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. The bank's "AA-" and "Aa1" credit ratings are among the highest in the world. Recognised for its global leadership, DBS has been named “World’s Best Bank” by Global Finance, “World’s Best Bank” by Euromoney and “Global Bank of the Year” by The Banker. The bank is at the forefront of leveraging digital technology to shape the future of banking, having been named “World’s Best Digital Bank” by Euromoney and the world’s “Most Innovative in Digital Banking” by The Banker. In addition, DBS has been accorded the “Safest Bank in Asia“ award by Global Finance for 14 consecutive years from 2009 to 2022. DBS provides a full range of services in consumer, SME and corporate banking. As a bank born and bred in Asia, DBS understands the intricacies of doing business in the region’s most dynamic markets. DBS is committed to building lasting relationships with customers, as it banks the Asian way. Through the DBS Foundation, the bank creates impact beyond banking by supporting social enterprises: businesses with a double bottom-line of profit and social and/or environmental impact. DBS Foundation also gives back to society in various ways, including equipping communities with future-ready skills and building food resilience. With its extensive network of operations in Asia and emphasis on engaging and empowering its staff, DBS presents exciting career opportunities. For more information, please visit www.dbs.com
About the Role

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
Key Skills
Agentic EngineeringLLM ArchitecturePythonFastAPILangGraphCrewAIAutoGenLangChainLlamaIndexModel Context ProtocolPrompt EngineeringDockerOpenShiftDistributed SystemsAsyncioCI/CD
Categories
TechnologySoftwareEngineeringData & AnalyticsFinance & Accounting
Job Information
📋Core Responsibilities
Lead the design and deployment of multi-agent AI systems and agentic workflows from inception to production. Architect high-concurrency backend services and mentor engineering teams on LLM best practices and system optimization.
📋Job Type
full time
📊Experience Level
10+
💼Company Size
35205
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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