AI Full-Stack Developer

该职位来源于猎聘 Job Overview We are seeking a talented and experienced AI Full-Stack Developer to join our innovation team. The ideal candidate will possess strong proficiency in both front-end and back-end development, with deep expertise in Java, Python, and a solid understanding of cutting-edge Generative AI technologies such as Dify and RAG. You will be responsible for designing, developing, and deploying end-to-end AI-driven applications that solve complex business problems, while collaborating with cross-functional teams to deliver high-quality, scalable solutions. This role requires a passion for innovation, a proactive mindset, and the ability to thrive in a fast-paced, collaborative environment.

Key Responsibilities Design, develop, and maintain full-stack AI applications, covering front-end interfaces, back-end services, and AI model integration.

Leverage Java and Python to build robust, scalable, and high-performance back-end systems, including APIs, microservices, and data processing pipelines.

Develop intuitive and responsive front-end interfaces using modern frameworks (e.g., React, Vue, Angular) to deliver exceptional user experiences for AI-powered products.

Integrate and customize Generative AI technologies, with a focus on Dify and RAG, to enable intelligent features such as semantic search, conversational AI, and content generation.

Collaborate with data scientists and AI researchers to translate AI models and algorithms into production-ready applications, ensuring optimal performance and accuracy.

Participate in the entire software development lifecycle (SDLC), including requirement analysis, system design, coding, testing, deployment, and post-launch maintenance.

Ensure code quality, security, and maintainability by following best practices, conducting code reviews, and implementing unit/integration tests.

Stay updated with the latest advancements in AI, full-stack development, and related technologies, and proactively propose technical improvements to enhance product capabilities.

Troubleshoot and resolve complex technical issues across front-end, back-end, and AI integration layers.

Collaborate with product managers, designers, and other engineers to align technical solutions with business goals and user needs.

Requirements Bachelor’s degree or higher in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.

Strong proficiency in Java (e.g., Spring Boot, Spring Cloud) and Python (e.g., Flask, Django, FastAPI) for back-end development.

Familiarity with LLM models (e.g., GPT, Llama, Mistral) and experience in integrating LLMs into applications via APIs or open-source frameworks.

Solid experience in front-end development, including proficiency in HTML5, CSS3, JavaScript/TypeScript, and modern front-end frameworks (React).

Hands-on experience with Generative AI technologies, particularly Dify and RAG implementation.

Knowledge of database technologies (SQL: MsSQL, PostgreSQL; NoSQL: Redis) and data modeling for AI applications.

Experience with cloud platforms (e.g. Azure) and containerization technologies (Docker, Kubernetes) for deploying and scaling AI applications.

Understanding of software engineering best practices: Agile/Scrum methodologies, CI/CD pipelines (Jenkins, GitLab CI), version control (Git), and test-driven development (TDD).

Excellent communication skills (written and verbal) and the ability to collaborate effectively with cross-functional teams.

Proactive learning attitude and passion for exploring new AI and development technologies.

Preferred Qualifications Experience in developing conversational AI chatbots or virtual assistants using Dify, RAG, or similar technologies.

Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS) used in RAG implementations.

Knowledge of MLOps practices for deploying and managing AI models in production.

Previous experience in AI startup or tech companies with a focus on innovative AI products.