Selected Intern's Day-to-day Responsibilities Include
- Work on advanced AI products related to LLM, Generative AI, Prompt Engineering, and RAG.
- AI-powered UI development: Build dynamic and responsive user interfaces in Angular that serve as the primary interaction point for our AI services.
- Use AI tools like N8n, Claude Coding, and Airflow to build AI agents.
- Use advanced APIs from Google Gemini, cloud-based LLMs, and private LLM deployment to build Generative AI-based systems.
- API integration: Expertly integrate and consume RESTful APIs from our AI backend, ensuring seamless data flow and real-time model interaction within the Angular application.
- Prompt engineering implementation: Design and implement user-facing features powered by prompt engineering, allowing users to interact intuitively with Large Language Models (LLMs).
- Collaboration and quality: Collaborate with AI and product teams to translate requirements into technical solutions and maintain high code quality through best practices.
About Company: Shaping the Future Powered by AI Empowering universities, institutions, and enterprises to drive transformation through our intelligent solutions, such as Gen-AI assessments, secured AI proctoring, and next-gen document verification built on Agentic AI.