Description

Design, deploy, and optimize large language models and RAG pipelines to solve complex business problems.

This role is on-site.

Responsibilities

• Architect and deploy Retrieval-Augmented Generation (RAG) systems for chatbots and knowledge systems.
• Design and maintain scalable web services using FastAPI or Flask.
• Implement LangChain to build custom pipelines for document indexing, retrieval, and summarization.
• Manage embeddings using vector databases such as Pinecone, Chroma, FAISS, or Milvus.
• Research and experiment with fine-tuning and adapting models like GPT and BERT.

Required Skills

• 10+ years of experience in software development and AI integration.
• Proficiency in Python for writing modular, API-driven applications.
• Hands-on experience with LangChain and RAG pipeline optimization.
• Expertise in vector stores, retrievers, and re-rankers.
• Strong knowledge of AWS services including Lambda, EC2, S3, EKS, and RDS.
• Working knowledge of SQL and NoSQL databases.
• Experience with FastAPI or Flask frameworks.

Preferred Skills

• Experience creating monitoring dashboards with Grafana or Tableau.

Key Skills

Education

Any Graduate