




Job Summary: A professional to develop and maintain web applications using Python, design RAG pipelines, build chatbots and intelligent agents, optimize systems with Generative AI, and collaborate within multidisciplinary teams. Key Highlights: 1. Experience with Generative AI and web application development. 2. Focus on RAG, intelligent chatbots, and AI optimization. 3. Collaboration with multidisciplinary teams on educational products. Description: Requirements and Qualifications: * Proficiency in Python and software architecture (APIs, distributed services, modularity, testing). * Proven experience building web applications and integrating front\-end with APIs. * Practical experience with Generative AI: embeddings, LLMs, tool functions, prompts, agents. * Solid understanding of relational and non\-relational databases, caching, message queues, and asynchronous pipelines. * Git, CI/CD, cloud environments. ADDITIONAL ASSETS: THE FOLLOWING WILL BE CONSIDERED AN ASSET: * Experience with LangGraph, LangChain, LangFuse, Qdrant, Pinecone, or similar technologies. * End\-to\-end RAG implementation experience (indexing, querying, evaluation). * Experience with agent\-oriented architectures. * Advanced fullstack development (React / Vue). * Prior experience in educational products, social impact, or large\-scale systems. * Experience monitoring LLM quality and conducting A/B tests on prompts. YOUR PRIMARY RESPONSIBILITIES WILL INCLUDE: Experience programming in JavaScript; * Supporting the project, developing, modifying, maintaining, and evaluating software products. * Enhancing existing software products to add new features, improve performance, and increase usability. * Recommending changes to development, maintenance, and system standards. Responsibilities: For the Technology area, we seek candidates with: * Developing and maintaining web applications using Python (FastAPI / Django / Flask) and integrating with modern front\-end frameworks (React, Vue, etc.). * Designing, implementing, and orchestrating complete RAG (Retrieval\-Augmented Generation) pipelines: indexing, chunking, embeddings, vectors, reranking, and monitoring. * Creating and evolving intelligent chatbots and agents capable of interpreting context, executing tools, and accessing internal data. * Building Generative AI workflows using LangGraph, LangChain, LangFuse, OpenAI, HuggingFace, etc. * Instrumenting metrics for latency, response quality, observability, and continuous improvement loops in AI pipelines. * Collaborating with multidisciplinary teams (product, research, pedagogical content) to transform educational requirements into scalable and secure solutions. * Automating and optimizing data pipelines, external integrations, and asynchronous processing tasks. * Ensuring best practices in architecture, testing, versioning, security, and AI governance. If you meet most—but not all—of the requirements, please still apply. We’d love to speak with you and explore how we can support your learning journey! 2512160202201868198


