Python Backend Development Talent with RAG and Agentic AI Experience

<p> <strong>Headquarters:</strong> </p> <p>Summary:</p><p>We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks. The role will focus on delivering a production-grade RAG system and AI chatbot that can securely integrate with enterprise data, APIs, databases, and cloud services.</p><p>General information:</p><p>The organization is developing an AI-powered platform and requires an experienced individual contributor to build its RAG architecture and conversational AI capabilities. The developer will work closely with a distributed team and should be available for several hours of overlap with US working hours.</p><p>The project involves designing AI systems that go beyond basic prompt engineering, including multi-step workflows, autonomous agents, vector search, knowledge retrieval, memory management, and tool integration. The solution must be scalable, secure, observable, and suitable for production use.</p><p>The technology environment includes Python, FastAPI, large language models, LangGraph, LangChain, vector databases, Azure AI services, AWS, Docker, Kubernetes, and microservice-based architectures.</p><p>Task and deliverables:</p><ul><li>Design the end-to-end architecture for a scalable RAG system and AI chatbot.</li><li>Develop Python backend services, REST APIs, and microservices using FastAPI or similar frameworks.</li><li>Build document ingestion, chunking, embedding, indexing, retrieval, and reranking pipelines.</li><li>Implement vector search solutions using Azure AI Search or comparable vector databases.</li><li>Design autonomous AI agents capable of planning, reasoning, tool usage, and decision-making.</li><li>Develop multi-step AI workflows using LangGraph, LangChain, CrewAI, AutoGen, or similar orchestration frameworks.</li><li>Integrate commercial and open-source LLMs, including Azure OpenAI, OpenAI, Ant