Job description
Job Responsibilities:
1️⃣ Architecture Design and Implementation: Responsible for the technical architecture of the investment research system from 0 to 1, focusing on the development of core logic in the Python backend.
2️⃣ Blockchain Logic Layer "Translation": Analyze complex on-chain data structures (EVM/Solana, etc.) and convert them into structured business data for investment research use.
3️⃣ Data Hub Construction: Achieve efficient aggregation, cleaning, and automated processing of data from Twitter, Telegram, Mirror, and various On-chain APIs.
4️⃣ AI Enhanced Integration: Build a RAG system based on vector databases (Vector DB) to implement report summarization, semantic search, and intelligence analysis through LLM.
5️⃣ Full-Stack Delivery: Responsible for (or guiding) the development of the front-end interface, ensuring a smooth interactive experience in the investment research workflow.
Job Requirements:
1️⃣ Strong Crypto-Native Background: You must have a deep understanding of DeFi, NFT, or underlying public chain logic, and be able to identify key points in smart contract interactions at a glance. We do not need to re-explain what "LP" or "MEV" is.
2️⃣ #Python Backend Expert: Extremely proficient in Python, familiar with asynchronous programming (FastAPI/Asyncio), and capable of handling high-concurrency data scraping and analysis tasks.
3️⃣ Full-Stack Development Capability: Familiar with mainstream front-end frameworks (such as #React/#Next.js/#Vue), able to independently complete high-quality web interface development.
4️⃣ Experience with AI and Vector Databases: Familiar with LangChain/LlamaIndex frameworks, with practical experience in building and tuning vector databases like Pinecone, Milvus, or Weaviate.
5️⃣ Problem-Solving Geek Spirit: When faced with the unique challenges of blockchain data structures and numerous API limitations, able to propose elegant engineering solutions.