- Contribute to CS Copilot - a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions

- Work on LLM-powered document understanding features - extracting structured, reliable data from unstructured enterprise documents

- Help build AI feature UIs - learning to own the interface layer, not just the model integration

- Contribute to eval frameworks - learning to define what 'working' means for AI features and help catch regressions

- Support model selection and integration decisions - learning to choose the right provider and approach for each use case

- Assist with AI platform reliability - observability, fallback behaviour, and graceful degradation when models fail

- Work closely with product, customer success, and the full-stack engineer - learning how AI features become usable and trusted by real users

- Must have 1+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

- Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

- Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

- Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

- Must have experience building APIs or backend services and integrating with external systems

- Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

- Must have worked with modern development tools (Git, APIs, basic cloud exposure)

- Strong in Python + basic AI/LLM ecosystem

- Product companies / Funded startups

Note : Tier-1 institutes (IITs, BITS, IIITs),