高级应用工程师（全栈）

2.5-3万

广州市本科不限经验

职位描述

JOB PURPOSE:

Landmark Group is looking for a Sr. Application Engineer (Full Stack) to join the Software Engineering Team within Landmark Next. As one of the founding members of engineering team, you will be responsible for designing, developing, deploying and optimizing Agentic SaaS applications in multi-cloud (primarily Google & Azure) and multi-tenant architecture. You will collaborate closely with Business Team members (Sourcing, Buying, Planning, Supply Chain, etc.) within Landmark Brands as well as Garment Manufacturers and Fabric Suppliers primarily located in China & India. You will work with Digital, Data and IT support teams to ensure seamless integration, security and governance of Agentic SaaS platform for vertical integration of Retail.

This role is well suited for a full-stack developer who has done multiple POC projects in emerging JavaScript (Ex. transformersjs, threejs, tensorflowjs, etc.) and python frameworks (Ex. pytorch, langchain, google OR tools, etc.) is excited about ambiguous and complex challenges, working with business teams, and building a technology product with real-world impact.

KEY RESPONSIBILITIES:

* Full-Stack Development: Design, develop and deploy scalable Agentic SaaS applications with user-friendly frontend features in Next.js/React and integrating with backend services in Python (FastAPI)

* Visual Design: Leverage CSS frameworks like Tailwind and Material UI to create responsive and intuitive user interfaces

* Internationalization & Localization: Design and implement seamless multilingual user experience for both text and voice interactions leveraging internationalization (i18n) frameworks and translation services

* Data model and Database Design: Design and manage data models for multi-database environment, leveraging NoSQL Database (MongoDB/Firebase Firestore) for core application data and auth, SQL Database (PostgreSQL) for structured data and object storage (Google Cloud Storage/Azure Data Lake Storage) for images, videos and other files.

* AI/ML Embedding: Implement and optimize client-side AI/ML features using libraries like TensorFlow.js, Transformers.js, and ONNX Runtime. You will also work with agentic AI patterns using LangChain & LangGraph.

* Multi-Tenancy & Platform Features: Develop the core multi-tenant architecture, including platform/tenant admin dashboards, role-based access control (RBAC), and organization management.

* Testing & Quality: Write comprehensive unit tests using Jest and python Testing Library to ensure code quality, reliability, and performance.

* DevOps & Deployment: Own the deployment pipeline by containerizing the application with Docker, deploying to Kubernetes platforms on GCP/Azure and ensuring smooth CI/CD workflows.

* API & Documentation: Develop and document APIs using standards like OpenAPI and tools like Swagger, ensuring clear and maintainable code for team collaboration

* Continuous Learning: Stay up to date with the latest trends and advancements in frameworks for Data, Machine Learning, Agentic AI, Computer Aided design, etc. and provide recommendations on adopting new technologies or features to enhance the Agentic SaaS platform.

* Documentation: Document technical designs, procedures, and guidelines for application engineering and operations

KNOWLEDGE, SKILLS & EXPERIENCE:

* Education: Bachelor’s degree in computer science engineering, or a related field.

* Experience: 3-5 years of professional full-stack software development experience in building features or modules within complex web/SaaS applications

* Frontend Technologies: Expertise in modern javascript/typescript frontend frameworks (Nextjs/Reactjs), CSS frameworks (Tailwind), state management (Redux), and UI component libraries (Material UI).

* Backend Technologies (Python): Solid experience in Restful API development in Python web frameworks like FastAPI, Flask, etc. along with asynchronous task processing in queue using celery and redis

* Database Knowledge: Proven experience working with both NoSQL (like Firebase Firestore) and SQL (like PostgreSQL) databases.

* DevOps & Version Control: Proficient with Git and collaborative development workflows (e.g., branching, pull requests), hands-on experience with Docker, and in deploying applications to a Kubernetes cloud service on GCP or Azure.

* Preferred Qualifications (Nice to have):

o Knowledge of AI frameworks like LangChain, LangGraph, or Hugging Face Transformers and Experience with client-side ML libraries (TensorFlow.js, ONNX.js) will be preferred.

o Experience building multi-tenant SaaS applications with background in internationalization (i18n) frameworks is desirable

o Interest or experience in web-based 2D/3D graphics libraries (Konva.js, Three.js) and CAD libraries (Ex. makersjs) would be great addition

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