About The Role

**Job Description**

The AI Full-Stack Engineer will work closely with Product, Forward Deployed Engineering (FDE), and business teams to rapidly deliver production-ready AI capabilities and MVP tools for real-world business scenarios.

Key responsibilities include

Design, develop, and maintain AI Agent application modules, including conversational interfaces, knowledge bases, workflow engines, Agent configuration, and Skill management.
Integrate large language model capabilities, including multi-turn conversation, Retrieval-Augmented Generation (RAG), tool/function calling, prompt management, workflow orchestration, and Skill integration.
Build and integrate Agent Skills and tools, such as API Skills, workflow-based Skills, script-based Skills, MCP tools, and connections to internal enterprise systems.
Contribute to the design of Skill execution mechanisms, access control, context management, tool protocols, and end-to-end invocation flows.
Develop frontend experiences including Chat UI, Agent configuration pages, Skill management interfaces, workflow visualization, and operational dashboards.
Develop backend APIs, data models, job scheduling, and system integration services to support a reliable and scalable Agent platform.
Help establish a context data feedback loop by capturing AI interactions, user selections, edits, feedback, and outcome data in structured formats.
Partner with Product, FDE, and business stakeholders to translate evolving requirements into practical solutions and iterate quickly.
Participate in testing, staged releases, issue investigation, log analysis, and continuous improvement to enhance system reliability and user experience.

**Qualifications**

2–5 years of relevant software development experience, with experience delivering complete web applications, internal tools, or enterprise systems.
Bachelor’s degree or above in Computer Science, Software Engineering, Information Systems, or a related field preferred.
Proficiency in at least one programming language: Python, TypeScript, or JavaScript.
Experience with Vue or React, including frontend pages, reusable components, and state management.
Familiarity with FastAPI or comparable backend frameworks, with the ability to independently develop APIs, service logic, and basic integrations.
Familiarity with PostgreSQL, MySQL, Redis, and related database or caching systems.
Understanding of core LLM application concepts, including prompting, RAG, embeddings, tool/function calling, and Agent workflows.
Strong engineering discipline, code quality standards, and collaborative working practices.
Ability to work effectively amid ambiguous requirements, break down problems, and iterate quickly with product and business stakeholders.
Strong Chinese communication skills and the ability to read English technical documentation.

**Preferred Qualifications**

Experience with LLM, Agent, RAG, or workflow automation projects.
Experience with frameworks or tools such as LangChain, LlamaIndex, Dify, n8n, AutoGen, CrewAI, or MCP.
Frequent use of AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot.
Experience building Chat UIs, knowledge-base systems, workflow engines, low-code platforms, or enterprise internal tools.
Experience with authorization systems, audit logging, analytics instrumentation, observability dashboards, or administrative platforms.
Experience in architecture, real estate, engineering, design, or the AEC industry.

**Working Style**

We value engineers who can turn AI prototypes into reliable, usable business features; learn quickly through experimentation; stay close to real user workflows and feedback; take ownership; and proactively drive problems through to resolution.

At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world!