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About the role
We are seeking a highly skilled Full Stack Developer with GenAI & Knowledge Systems expertise to build intelligent, scalable web applications powered by Large Language Models (LLMs). The role requires strong experience in web application development, along with hands-on expertise in knowledge base systems, knowledge graphs, and AI guardrails to ensure safe and reliable AI solutions. Responsibilities - Develop end-to-end full stack web applications using React, Node.js, and MongoDB - Design and implement AI-powered knowledge-based systems - Build and manage enterprise knowledge bases integrated with LLMs - Develop backend APIs using Node.js and Python (FastAPI/Flask) for AI workloads - Implement LLM orchestration workflows using LangChain, LlamaIndex, or Semantic Kernel - Design and implement Knowledge Graphs for structured knowledge representation and retrieval - Build RAG (Retrieval-Augmented Generation) pipelines leveraging knowledge bases and vector databases - Apply AI Guardrails to ensure safety, compliance, bias mitigation, and secure AI responses - Integrate vector databases (Pinecone, FAISS, Azure AI Search) for efficient retrieval - Develop intuitive frontend experiences using React.js / Next.js - Ensure scalability, performance, and security of applications - Deploy applications on cloud platforms and manage CI/CD pipelines - Collaborate with cross-functional teams to deliver AI-driven solutions Requirements - Bachelor's/master's degree in computer science or related field - 5+ years of experience in full stack web development - Minimum 2+ years of hands-on experience in Generative AI / LLM-based applications - Robust proficiency in React, Node.js, Express, and MongoDB - High proficiency in Python programming - Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face) - Hands-on experience with LLM orchestration frameworks (LangChain, Semantic Kernel, etc.) - Proven experience in building and managing knowledge bases / enterprise search systems - Experience with Knowledge Graph design and implementation - Familiarity with AI safety, guardrails, and responsible AI practices - Experience with cloud platforms (Azure/AWS/GCP) - Strong problem-solving and communication skills Skills - Strong expertise in Full stack (MongoDB, Express, React, Node.js) - Proficiency in Python for AI/ML integration - Experience with Knowledge Graphs (Neo4j, RDF, graph databases, semantic search) - Strong understanding of knowledge base architecture and retrieval systems - Expertise in GenAI application development and prompt engineering - Experience designing RAG pipelines using structured & unstructured data - Knowledge of AI Guardrails (content filtering, policy enforcement, hallucination control) - Familiarity with vector databases and embeddings - Strong backend API design and system architecture skills - Experience with authentication, security, and scalable system design - Experience with Docker, CI/CD pipelines, and DevOps practices - Strong analytical and debugging skills .
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