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Metro Bengaluru location and broad full-stack+LLM requirements create moderate applicant competition.
ML/AI specialization and LLM expertise limit transferability across non-AI industries.
Technical stack breadth but flexible internship requirements make filters moderately strict.
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End-to-end ownership of full-stack product features including frontend, backend, and LLM logic for AI-powered education and healthcare tools.
Build and ship AI-driven experiences such as retrieval-augmented generation (RAG) systems, agents, copilots, and document intelligence solutions.
Prototype ideas to working products, write prompts, evaluate AI performance, integrate internal and third-party APIs, and optimize feature performance.
Strong proficiency in Python programming.
Experience with JavaScript or TypeScript and a modern frontend framework such as React or Next.js.
Familiarity with backend frameworks like FastAPI or Flask and working knowledge of SQL databases (Postgres preferred).
Comfort working with large language model APIs including prompting and structured outputs. Work Experience Required: Internship role, work experience not explicitly mentioned.
Demonstrates ability to build and deliver projects independently with relevant side projects, hackathon experience, or open source contributions to discuss in detail.
Capable of quickly learning and adapting to new technologies and domains in AI and software development.
Has informed opinions on AI products, understanding their practical utility beyond hype.