AI Application Developer (工作地點: 新店)

Key Responsibilities AI-Powered Test Solution Development & Integration: - Design, develop, and maintain innovative AI-driven testing programs and applications using Google AI APIs. - Develop backend services and APIs using Python, Google App Script, and HTML5, ensuring high standards for code quality, performance, and scalability. - Collaborate closely with the testing team to ensure experimental models align with practical testing scenarios and operate stably. System Architecture & Integration: - Design and manage scalable database architectures, including relational and vector databases, based on application requirements. - Design and implement a robust integration layer between backend AI services and Android applications, ensuring efficient and reliable API communication. Quality Assurance & Process Optimization: - Develop and maintain a comprehensive automated testing framework, covering unit, integration, and end-to-end tests. - Establish automated testing pipelines to ensure the stability and quality of AI applications through continuous iteration. Qualifications - Python Development: Solid experience in Python development, with a strong understanding of the software development lifecycle and API design principles. - Web Technologies Proficiency in Google App Script and HTML5 development. - Android Architecture A deep understanding of the Android application lifecycle, core components, and modern Android development architecture patterns (e.g., MVVM, MVI). - Google AI APIs Experience with or high-level familiarity with Google AI services (e.g., Vertex AI, Gemini API). - Generative AI Knowledge A thorough understanding and practical experience with Generative AI, Large Language Models (LLMs), and RAG principles. - Familiarity with the design and SQL operations of relational databases (e.g., PostgreSQL, MySQL) and a basic understanding of vector databases. - Experience in designing and implementing software testing strategies, with knowledge of the purposes and methods of different testing levels. - Ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders. - Excellent English reading and writing skills for independently reviewing technical documentation and for written communication. - Proven ability to independently analyze, diagnose, and resolve complex technical issues. Preferred Qualifications: - 3+ years of professional development experience. - Familiarity with Python testing frameworks (e.g., Pytest, Unittest). - Proficiency with a Python web framework (e.g., FastAPI, Flask, Django). - Experience with containerization technologies (e.g., Docker). - Experience with Android automated testing frameworks (e.g., Appium). - Experience in hardware integration and programming (e.g., using Arduino, - Raspberry Pi for robotics control or IoT device development).