Role & responsibilities

Design and develop responsive, user-friendly web applications using React.js for the front end.
Build robust back-end services using Node.js and Python.
Build pipelines to pull and normalize content from Jira, SharePoint, and direct file uploads (documents, PPTs, meeting notes) into the application.
Design and manage data storage using Amazon S3 and PostgreSQL (source files and generated documents).
Integrate and consume LLM APIs, prompt engineering, document/content generation, and vector databases/RAG.
Implement authentication, authorization, and secure API communication between UI, backend, LLM services, external resources (AWS/Azure) and SAP systems.
Manage, Monitor and optimize cloud cost management (resource sizing) and LLM/ AI spend (token usage, model selection, prompt/context optimization).
Manage source code repositories, branching strategy, pull requests,



and version control using GitHub.
Set up and maintain CI/CD pipelines (GitHub) for automated build, test, and deployment.
Troubleshoot, debug, and optimize application performance across the stack.
Stay current with emerging AI/LLM tools, AWS/AZURE services, and SAP SDLC best practices.
Collaborate with SAP functional teams to translate business requirements (SDLC) into technical solutions.

Positive to Have:
Prior experience building AI chat assistants/document-generation assistants.
Platinum certificate from Thriving in the Age of AI program.

Understanding of the SAP project/SDLC process (requirement gathering, fit-gap, functional/technical specs, configuration, Development and testing)

📌 Mern Full Stack Developer Chennai
🏢 Capgemini
📍 Chennai