Web App Full Stack Developer GenAI & Knowledge Systems

Job Description

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 and MongoDB
• Design and implement AI-powered knowledge-based systems
• Build and manage enterprise knowledge bases integrated with LLMs
• Develop backend APIs using 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 /
• 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

• Bachelors/masters 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
• Strong proficiency in React 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 )
• 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

Required Experience:

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