AI/RAG Engineer
Shree Narayani Networking Solutions Pvt Ltd
AI/RAG Engineer (25167) - "Full-stack GenAI application engineer"
someone who has actually shipped a RAG product end-to-end, not just called an LLM API.
search for "RAG," "semantic search," "FastAPI," "embeddings" + product shipping experience
- Hands-on with the full RAG pipeline: chunking strategy, embedding model selection, retrieval tuning, reranking, summarization - able to speak to trade-offs at each stage
- Application layer strength: FastAPI, JWT/auth, API Gateway patterns, plus MongoDB/Redis and ideally some Angular/React exposure
- Semantic search and data pipeline experience is called out specifically here - so someone who's built search/retrieval systems (even pre-LLM) transfers well
- This is the most "well-rounded builder" of the three - backend + data pipeline + some frontend awareness
- Good fit: a product-minded backend engineer who's spent the last 1-2 years specifically in applied GenAI/RAG, ideally in a team shipping to real users rather than research/prototyping.
Vacancy posted 2 days ago
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