'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 LangChainWork 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

ibex delivers innovative business process outsourcing (BPO), smart digital marketing, online acquisition technology, and end-to-end customer engagement solutions to help companies acquire, engage and retain valuable customers. Today, ibex operates a global CX delivery center model consisting of approximately 30 operations facilities around the world, while deploying next generation technology to drive superior customer experiences for many of the world’s leading companies across retail, e-commerce, healthcare, fintech, utilities and logistics.
ibex leverages its diverse global team of more than 33,000 employees together with industry-leading technology, including the AI-powered ibex Wave iX solutions suite, to manage nearly 170 million critical customer interactions annually on behalf of our clients, driving a truly differentiated customer experience. To learn more, visit our website at ibex.co and connect with us on LinkedIn.