Enterprise AI & Workflows

Employment · Full time

3–4 years

LLM / RAG Engineer

Balusen Technologies

Bangalore · Remote (India)

Posted May 21, 2026

Own retrieval quality end-to-end—from chunking strategy to grounded answers in prod.

Roles & responsibilities

- Implement and tune RAG stacks (ingestion, indexing, reranking, evaluation)
- Build evaluation harnesses for hallucination, latency, and cost
- Partner with product and client teams on AI feature roadmaps

Required skills & stack

- 3–4 years backend or ML engineering with shipped LLM features
- Solid grasp of embeddings, hybrid search, and prompt boundaries
- Pragmatic approach to MLOps-lite monitoring in production

ATS keywords: RAG, Pinecone, ChromaDB, Python, Evaluation, Embeddings, RAG, EnterpriseAI, Snowflake, Remote Engagement:



Employment · Full-time | Bangalore · Remote (India)

Ready to build with us? Apply on this listing (required: experience in relevant technologies, CTC, monthly take-home, expected take-home, current location, and 10–15 day join availability) or email [email protected] with your resume and portfolio link.

Key skills & ATS keywords

RAGPineconeChromaDBPythonEvaluationEmbeddings#RAG#EnterpriseAI#Snowflake#Remote Required when applying: years of experience in relevant technologies, current CTC, monthly take-home (current & expected), location, and 10–15 day join availability.

📌 LLM / RAG Engineer (Bengaluru)
🏢 BALUSEN TECHNOLOGIES
📍 Bengaluru