Python Full Stack developer ( ReactJS , MoongoDB )

Python Full Stack developer ( ReactJS , MoongoDB ) Location: US Remote / HybridJob Type: Full-Time Must-Have Skills : Python | React | MongoDB | Generative AI (GenAI) | LLM | RAG | Agentic AI | Vector Databases | MCPJob Summary We are seeking a Senior AI Full Stack Engineer with strong expertise in Python, React, MongoDB, and Generative AI to build enterprise-scale AI applications.

The ideal candidate will have hands-on experience developing AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Agentic AI, and modern full-stack technologies.

This role is ideal for engineers who enjoy building intelligent applications from document ingestion and semantic search to AI agents and real-time conversational experiences.

Responsibilities Design, develop, and maintain enterprise AI applications using Python, React, and MongoDB.Build scalable Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.Develop end-to-end document processing pipelines, including document parsing, extraction, chunking, indexing, and semantic retrieval.Integrate commercial and open-source Large Language Models (LLMs).Build real-time AI applications using Streaming APIs and Server-Sent Events (SSE).Implement document citation, source attribution, and grounded AI responses.Design and develop Agentic AI solutions using multi-agent frameworks and Model Context Protocol (MCP).Develop REST APIs and microservices supporting AI workflows.Collaborate with architects, product owners, and engineering teams to deliver scalable AI solutions.Participate in architecture reviews, code reviews, and Agile development activities.Required Skills 3+ years of experience developing enterprise applications using Python, React, and MongoDB.Strong hands-on experience with:Generative AI (GenAI)Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, pgvector, or similar)Embeddings and semantic searchRetrieval optimizationExperience building document parsing, OCR, extraction, indexing, and document ingestion pipelines.Experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models).Experience implementing Streaming APIs and Server-Sent Events (SSE).Experience implementing document citation and reference generation.Experience designing and developing Agentic AI solutions using multi-agent frameworks and MCP.Strong experience with REST APIs, Microservices, Git, and Agile/Scrum.Excellent debugging, analytical, and problem-solving skills.Preferred Skills Experience with AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or LangChain.Experience building AI workflow automation and agent orchestration.Familiarity with Langfuse, Arize AI, or similar AI observability and evaluation platforms.Experience with Docker, Kubernetes, and CI/CD.Knowledge of Terraform, Infrastructure as Code (IaC), and DevOps.Experience with AWS, Azure, or Google Cloud Platform.Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Minimum 5 years of software development experience.Minimum 2 years of hands-on experience building production AI/LLM applications.Strong communication, collaboration, and problem-solving skills.Why Join Us?

Work on cutting-edge Generative AI and Agentic AI projects.Build enterprise-scale AI platforms using the latest technologies.Collaborate with experienced architects, AI engineers, and product leaders.Solve challenging real-world problems using modern AI and cloud technologies.Competitive compensation with opportunities for long-term growth.