AI Full Stack Developer

As an AI Full Stack Developer at our company, you will play a crucial role in developing intelligent web applications, AI agents, and enterprise-grade solutions. You will work closely with cross-functional teams to deliver scalable and impactful products. Here is a breakdown of your responsibilities: - Design, develop, and maintain scalable web applications using Python, FastAPI, React.js, and Next.js. - Build and deploy AI-powered applications, copilots, chatbots, and autonomous AI agents. - Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases. - Integrate and manage AI models through APIs such as OpenAI, Anthropic, and other LLM providers. - Create robust backend services, APIs, and microservices to support AI-driven applications. - Collaborate with product, design, and engineering teams to translate business requirements into technical solutions. - Design and optimize database structures and queries using SQL. - Deploy and manage applications on cloud platforms such as AWS or Microsoft Azure. - Ensure application performance, scalability, security, and reliability. - Participate in architecture discussions, code reviews, and technical decision-making. Required Skills & Qualifications: - 5-10 years of experience in Full Stack Development. - Strong programming expertise in Python. - Hands-on experience with FastAPI, React.js, and Next.js. - Experience building applications using Large Language Models (LLMs). - Strong understanding of RAG (Retrieval-Augmented Generation) architecture. - Experience with LangChain or similar AI orchestration frameworks. - Hands-on experience integrating OpenAI, Anthropic, or equivalent AI APIs. - Strong knowledge of SQL and database design. - Experience with cloud platforms such as AWS or Azure. - Understanding of REST APIs, microservices, and scalable application architecture. Preferred Skills: - Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS. - Knowledge of Docker, Kubernetes, and CI/CD pipelines. - Exposure to MLOps and AI model deployment. - Experience working in Agile/Scrum environments. - Familiarity with enterprise AI solutions and agentic workflows. Education: - UG: B.Tech / B.E. in Computer Science, Information Technology, or related discipline. As an AI Full Stack Developer at our company, you will play a crucial role in developing intelligent web applications, AI agents, and enterprise-grade solutions. You will work closely with cross-functional teams to deliver scalable and impactful products. Here is a breakdown of your responsibilities: - Design, develop, and maintain scalable web applications using Python, FastAPI, React.js, and Next.js. - Build and deploy AI-powered applications, copilots, chatbots, and autonomous AI agents. - Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases. - Integrate and manage AI models through APIs such as OpenAI, Anthropic, and other LLM providers. - Create robust backend services, APIs, and microservices to support AI-driven applications. - Collaborate with product, design, and engineering teams to translate business requirements into technical solutions. - Design and optimize database structures and queries using SQL. - Deploy and manage applications on cloud platforms such as AWS or Microsoft Azure. - Ensure application performance, scalability, security, and reliability. - Participate in architecture discussions, code reviews, and technical decision-making. Required Skills & Qualifications: - 5-10 years of experience in Full Stack Development. - Strong programming expertise in Python. - Hands-on experience with FastAPI, React.js, and Next.js. - Experience building applications using Large Language Models (LLMs). - Strong understanding of RAG (Retrieval-Augmented Generation) architecture. - Experience with LangChain or similar AI orchestration frameworks. - Hands-on experience integrating OpenAI, Anthropic, or equivalent AI APIs. - Strong knowledge of SQL and database design. - Experience with cloud platforms such as AWS or Azure. - Understanding of REST APIs, microservices, and scalable application architecture. Preferred Skills: - Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS. - Knowledge of Docker, Kubernetes, and CI/CD pipelines. - Exposure to MLOps and AI model deployment. - Experience working in Agile/Scrum environments. - Familiarity with enterprise AI solutions and agentic workflows. Education: - UG: B.Tech / B.E. in Computer Science, Information Technology, or related discipline.