09 Sep
|
NMS INFRAA
|
Gurugram
09 Sep
NMS INFRAA
Gurugram
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 productive retrieval of large-scale datasets.
Fine-tune pre-trained LLMs for domain-specific tasks, ensuring high accuracy and relevance of generated outputs.
Collaborate with data engineers, ML engineers, and product teams to integrate AI solutions into applications and workflows.
Conduct testing, evaluation, and monitoring of AI models to ensure performance, fairness, and reliability.
Research emerging LLM technologies, frameworks, and tools to continuously enhance solution capabilities.
📌 Llm Engineer Gurugram
🏢 NMS INFRAA
📍 Gurugram