Consultant - TAX - National - TAX - GCR - Global Compliance & Reporting - New Delhi

Job Title: Full Stack Developer

Location: Pune, Delhi (Hybrid, On site)

Company / Department Overview: Tax Technology Transformation is at the forefront of AI innovation, developing cutting-edge solutions that transform Tax function.

We are on the lookout for a Full Stack Engineer with expertise in React, Node.js, and AI technologies to develop a sophisticated Retriever-Augmented Generation (RAG) based chatbot. The ideal candidate will have hands-on experience with vector embeddings, Elastic databases, and frameworks like LangChain.

Key Responsibilities:

• Build and maintain the front end of the chatbot application using React, ensuring a seamless user experience.
• Develop and manage the backend services in Node.js, integrating with AI models and handling server-side logic.
• Work with vector embeddings to enhance the chatbot's understanding and response accuracy.
• Implement and maintain databases, particularly Elastic, to manage the chatbot's knowledge base efficiently.
• Utilize frameworks such as LangChain to streamline the development of language-based AI applications.
• Collaborate with AI researchers to optimize the RAG model and improve the chatbot's performance.
• Ensure the application's scalability, security, and data protection.
• Document the development process, architecture, and best practices.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience with strong experience with React and Node.js in a production environment.
• Proficiency in working with vector embeddings and understanding their role in AI applications.
• Experience with Elastic or similar databases for storing and querying large datasets.
• Familiarity with AI frameworks and libraries, particularly those related to NLP and chatbot development.
• Solid understanding of RESTful API design and development.
• Knowledge of cloud services and deployment (AWS, Azure, GCP).
• Proficient in using version control systems like Git.
• Prior experience building conversational AI or chatbots.
• Understanding of machine learning operations (MLOps) and deployment of AI models.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and automated testing frameworks.