AI-Powered Full-Stack Developer

We are looking for a skilled AI-Powered Full-Stack Developer to design, build, and maintain modern web applications enhanced with AI capabilities. The ideal candidate has strong expertise in front-end and back-end development, cloud technologies, APIs, databases, and integrating Large Language Models (LLMs) and AI services into scalable applications. Key Responsibilities Design, develop, and maintain responsive full-stack web applications. Build scalable RESTful APIs and microservices. Integrate AI/ML services such as OpenAI, Anthropic, Google Gemini, or open-source LLMs. Develop AI-powered features including chatbots, document processing, semantic search, and workflow automation. Work with relational and NoSQL databases to ensure efficient data storage and retrieval. Collaborate with UI/UX designers, product managers, and cross-functional teams. Write clean, maintainable, and well-tested code following best practices. Optimize applications for performance, scalability, and security. Deploy and monitor applications using cloud platforms and CI/CD pipelines. Troubleshoot, debug, and enhance existing systems. Required Skills Strong proficiency in JavaScript/TypeScript. Experience with React, Angular, or Vue.js. Expertise in Node.js, Express, NestJS, or similar back-end frameworks. Experience with Python for AI integrations and automation. Knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Experience with REST APIs, GraphQL, and third-party API integrations. Familiarity with Git, Docker, Kubernetes, and CI/CD pipelines. Experience with AWS, Azure, or Google Cloud Platform. Understanding of authentication, authorization, and web security best practices. AI & LLM Experience Integrating LLM APIs (OpenAI, Gemini, Anthropic, etc.). Prompt engineering and AI workflow design. Retrieval-Augmented Generation (RAG) and vector databases. AI agents and workflow automation. Model evaluation, monitoring, and optimization. Preferred Qualifications Bachelor's degree in Computer Science or a related field (or equivalent experience). Experience with LangChain, LlamaIndex, or similar AI frameworks. Familiarity with vector databases such as Pinecone, Weaviate, or Chroma. Knowledge of MLOps and AI deployment best practices. Strong problem-solving, communication, and collaboration skills.