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**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!
