Full Stack Developer

Job Title: Full Stack Developer (React.js, Node.js & Agentic AI) We are looking for a highly skilled

Full Stack Developer with expertise in

React.js and

Node.js , along with hands-on experience designing and developing

Agentic AI applications powered by Large Language Models (LLMs).

Required Skills

• Strong proficiency in React.js, JavaScript/TypeScript, HTML5, and CSS3
• Experience with Node.js and Express.js for backend development
• Strong understanding of RESTful APIs, GraphQL, and microservices architecture
• Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.)
• Hands-on experience with Git, Docker, Kubernetes, and CI/CD pipelines
• Experience with cloud platforms such as AWS, Azure, or GCP

Agentic AI Skills

• Hands-on experience building Agentic AI applications using LLMs
• Experience integrating LLMs such as OpenAI, Anthropic, Google Gemini, or open-source models
• Strong understanding of Prompt Engineering and AI workflow design
• Experience implementing Retrieval-Augmented Generation (RAG)
• Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or LlamaIndex
• Experience building multi-agent systems and autonomous workflows
• Experience integrating external tools, APIs, databases, and enterprise applications with AI agents
• Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Milvus
• Experience with Model Context Protocol (MCP) for integrating AI agents with external tools and services
• Understanding of AI evaluation, observability, guardrails, and responsible AI practices

Responsibilities

• Design, develop, and maintain scalable full-stack applications using React.js and Node.js.
• Build and deploy Agentic AI solutions using LLMs and modern AI orchestration frameworks.
• Develop AI agents capable of planning, reasoning, tool usage, and autonomous task execution.
• Integrate AI applications with enterprise systems, APIs, databases, and MCP-compatible services.
• Implement RAG pipelines and vector search for enterprise knowledge retrieval.
• Optimize AI applications for performance, scalability, security, and cost efficiency.
• Collaborate with product, engineering, and AI teams to deliver innovative AI-powered solutions.