Description: Requirements and qualifications: The essential requirements for this position include: * Proficiency in Python and software architecture (APIs, distributed services, modularity, testing). * Experience developing web applications and integrating front-end with APIs. * Practical experience with Generative AI (not just experimentation): embeddings, LLM models, tool functions, prompts, agents. * Solid understanding of relational and non-relational databases, caching, message queues, and asynchronous pipelines. * Git, CI/CD, cloud environments. PREFERRED QUALIFICATIONS: THE FOLLOWING WILL BE CONSIDERED AS ADVANTAGES: * Prior experience with LangGraph, LangChain, LangFuse, Qdrant, Pinecone, or similar technologies. * Having built an end-to-end RAG system (indexing, querying, evaluation). * Experience with agent-oriented architectures. * Advanced full-stack development (React / Vue). * Prior experience in educational products, social impact initiatives, or large-scale systems. * Experience monitoring LLM quality and conducting A/B tests on prompts. Responsibilities and duties Nova Escola is seeking a Senior Developer to provide services capable of leading implementations involving Python, modern web architectures, and Generative AI systems. This professional will be responsible for structuring RAG pipelines, building production-ready intelligent chatbots, and ensuring quality, performance, and governance of AI workflows used by hundreds of thousands of educators. Responsibilities * Deliver web application development in Python (FastAPI / Django / Flask) and integration with modern front-end frameworks (React, Vue, etc.). * Design, implement, and orchestrate complete RAG (Retrieval-Augmented Generation) pipelines: indexing, chunking, embeddings, vectors, reranking, and monitoring. * Create and evolve intelligent chatbots and agents capable of interpreting context, executing tools, and accessing internal data. * Build Generative AI workflows using LangGraph, LangChain, LangFuse, OpenAI, HuggingFace, etc. * Instrument metrics for latency, response quality, observability, and continuous improvement loops in AI pipelines. * Collaborate, as needed, with cross-functional teams (product, research, content) to align requirements and define deliverables. * Automate and optimize data pipelines, external integrations, and asynchronous processing tasks. * Build with recommendations and implementation of best practices in architecture, testing, versioning, security, and AI governance. 2512210202551875866