- Location
- Gurgaon, IN
- Work mode
- On-site
- Employment
- Full-time
- Experience
- Mid-level
About the role
Key Responsibilities: Design and deploy end-to-end Generative AI applications tailored for specific business use cases. Build and optimize Retrieval-Augmented Generation (RAG) pipelines to combine LLMs with external knowledge sources. Integrate vector databases (e.g., ChromaDB, Pinecone, LanceDB) for semantic search, embedding storage, and efficient retrieval of large-scale datasets. Fine-tune pre-trained LLMs for domain-specific tasks, ensuring high accuracy and relevance of generated outputs.…
Requirements
- Experience building RAG pipelines
- Hands-on with vector databases and embeddings
- Ability to fine-tune LLMs
- Experience deploying generative AI solutions
Skills
- llm engineering
- generative ai
- retrieval-augmented generation
- rag pipelines
- vector databases
- semantic search
- embeddings
- fine-tuning
- chromadb
- pinecone
- lancedb
About the company
NMS Infraa
Posted via Adzuna
How to apply
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