Ai Backend Junior Engineer
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Summary
Junior backend engineer building high-performance APIs and Agent services, taking part in architecture design, documentation, and applying cutting-edge AI (RAG, vector databases) to real projects. Stack spans Python/Go/Java/Node.js, PyTorch, Docker/Linux, and LLM frameworks like LangChain, Dify, or LlamaIndex.
Job Responsibilities
- 1) Responsible for backend business development and high-performance API construction, participating in architecture design and optimization;
- 2) Maintain good code commenting and documentation habits to ensure API documentation is clear and easy to use;
- 3) Participate in the development and iteration of Agent services, reading and analyzing relevant open source project code;
- 4) Maintain a keen eye on cutting-edge AI technologies and apply them to real-world projects;
Job Requirements
- 1) Understand the basic concepts of vector databases and be familiar with RAG search and knowledge base construction;
- 2) Master the basics of PyTorch; experience with model training and inference deployment is preferred;
- 3) Familiarity with Docker builds, Linux systems, Shell scripting, and scraping;
- 4) Proficiency in at least one programming language (Python/Go/Java/Node.js);
- 5) At least one year of relevant work experience, or a 1-2 year undergraduate or recent master's degree graduate from Singapore;
- 6) Passionate about cutting-edge technologies and the open source ecosystem, and active on platforms such as Hugging Face and GitHub;
- 7) Experience with high-quality open source projects and AI Priority will be given to applicants with relevant paper publications or AI project experience.
- 8) Familiarity with one of the following frameworks: ComfyUI, Dify, Nonebot, AutoGen, Swarm, LlamaIndex, LangChain.
- 9) Responsible, accountable for the quality and bug-free nature of their own code, with a strong learning ability and the ability to quickly master new technologies.