Python Full Stack developer ( ReactJS , MoongoDB ) - Full Time Role

Python Full Stack developer ( ReactJS , MoongoDB )

• Location: US Remote / Hybrid
• Job Type: Full-Time Position
• Must-Have Skills : Python | React | MongoDB | Generative AI (GenAI) | LLM | RAG | Agentic AI | Vector Databases | MCP

Job 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 search
• Retrieval optimization
• Experience 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.