'We are looking for a skilled Python Developer with experience in AI/LLMs, Retrieval-Augmented Generation (RAG), and backend systems to join our team. The ideal candidate will have strong programming skills, a solid understanding of modern AI workflows, and the ability to design, implement, and optimize scalable solutions that integrate Large Language Models with knowledge retrieval systems.

Responsibilities will include:

RAG & AI Implementation

Implement and maintain RAG pipelines using custom or established frameworks such as LangChain
Work with LLM APIs (e.g., Azure OpenAI, Google Gemini) to build AI-driven applications.
Set up and manage vector databases (Azure AI Search, Google Vector Search, PGVector, Pinecone or Milvus) for document storage and retrieval.
Develop utilities for document preprocessing, parsing, chunking, and embeddings generation.

Backend Development

Build REST APIs to expose RAG/LLM workflows to applications and products.
Write clean, maintainable Python code using frameworks like FastAPI or Flask.
Ensure scalability and reliability of backend services in production.

Data & Pipelines

Build scripts for ETL and data ingestion pipelines to feed knowledge bases.
Work with structured and unstructured data (text, PDFs, web content, databases).
Monitor and optimize retrieval quality through embedding updates and reranking methods.

BSCS

2-4 years of Experience