Participate in the front-end development of SaaS product features and the maintenance of the front-end architecture.
Contribute to the maintenance of the front-end components of large-model RAG applications based on React + Next.js. Participate in the front-end development of core strategy components for large-model RAG applications using React + Next.js.
Engage in discussions on product feature iterations and future roadmap planning (optional).
What we are looking for
Development skills: Proficient in Python, React, TypeScript and Next.js. A strong aesthetic sense, with experience in React projects or rich text editor development preferred.
Technical Background: Computer Science/Physics/Mathematics or other STEM background, Bachelor's degree or above (current students or graduates are welcome).
Large model knowledge: Familiar with tools like Cursor, v0.dev, Windsurf or bolt.new, understand RAG and Agent design patterns, passionate about learning.
What we can offer
Cutting-edge product design and development experience in large language model applications, where your ideas will be valued and heard.
First-hand experience in implementing large language models in enterprise applications, with deep insights into how large models are revolutionizing frontend development.
An immersive startup experience with regular interactions with other entrepreneurs, a deep understanding of B2B product market strategies in the AI era, and direct access to user feedback.
Participate in the development and effectiveness evaluation of algorithms for Agent and RAG in vertical scenarios.
Be responsible for the Python-based RAG pipeline, including maintaining modular components and developing core strategy components.
Contribute to DevOps development, including database management and full-stack architecture maintenance (optional).
Engage in discussions on product feature iterations and future development planning (optional).
What we are looking for
Development skills: Expertise in Python, familiar with Agent design patterns and RAG pipelines, candidates who have published papers or contributed to open-source projects are preferred.
Technical Background: Computer Science/Physics/Mathematics or other STEM background, Bachelor's degree or above (current students or graduates are welcome).
Vision: Passionate about staying at the forefront of large language model applications, with a unique perspective on how these models can be applied in real-world scenarios.
What we can offer
Cutting-edge product design and development experience in large language model applications, where your ideas will be valued and heard.
Experience the use of LLMs in the B2B sector and learn how these models are changing software engineering.
An immersive startup experience with regular interactions with other entrepreneurs, a deep understanding of B2B product market strategies in the AI era, and direct access to user feedback.