Hiring for GenAI Intern

Location: Pune, India

Key Responsibilities:
Design and build LLM-powered chatbots using structured (SQL/NoSQL) and unstructured data.
Implement intent classification, guardrails and secure response generation
Build hybrid AI pipelines combining:
Databases (MySQL/PostgreSQL or equivalents)
Vector databases (Qdrant, Pinecone, Weaviate, etc.)
LLMs (OpenAI, LLaMA, Mistral, etc.)
Ensure accurate, deterministic handling of factual queries (counts, dates, records)
Implement RAG pipelines for summarization and semantic retrieval (not for factual counting)
Design non-SQL abstractions (API layers, event indexes, knowledge graphs when needed)
Debug hallucination, incorrect counts, and reasoning failures in LLM outputs
Implement observability, logging, evaluation, and regression testing for GenAI systems
Collaborate with backend, frontend, and product teams
Explain technical decisions clearly to non-AI stakeholders

Required Technical SkillsCore GenAI & LLM
Robust experience with LLMs (LLaMA, Mistral, Claude, etc.)
Prompt engineering for:




System prompts
Intent classification
Tool/function calling
Safety & refusal handling
Understanding of LLM limitations (hallucinations, counting errors, reasoning limits)

RAG & Embeddings
Hands-on experience with RAG architectures:
Embedding models (e.g., BGE, E5, OpenAI embeddings)
Vector databases:
Qdrant (preferred)
Pinecone / Weaviate / FAISS
Ability to decide when NOT to use vector search

Backend & Data
Solid backend experience with Python:
Experience with Flask / FastAPI:
Working knowledge of:
SQL (MySQL/PostgreSQL) OR structured alternatives
Data modeling for event-based systems
Experience building API layers over data sources

System Design
Intent-based routing (COUNT, HISTORY, SUMMARY, OUTOFSCOPE, etc.)
Guardrails, policy enforcement and validation layers
Caching, performance optimization and scalability.

Who Can Apply?

Are available fo

📌 Genai Intern Swargate
🏢 Ai India Innovations
📍 Swargate