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Python Rag

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Onsite

Python Rag

Infosys

Python Rag

Skills

Google Cloud PlatformDjangoFlaskPythonMicroservicesAIAWSFastAPIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

8 September 2026

What they need


Hiring: Python Developer with RAG Experience (Immediate Joiners)

We are looking for Python Developers with experience in RAG (Retrieval-Augmented Generation).

Experience: 2 to 5 Years
Skills: Python, RAG, Generative AI concepts
Location: Bangalore / Thiruvananthapuram
Joining: Immediate Joiners Preferred

Job Summary

We are seeking a skilled Python Developer with hands-on experience in RAG-based AI applications to join our growing AI/GenAI team. The ideal candidate will have experience building scalable backend services, integrating Large Language Models (LLMs), vector databases, and implementing Retrieval Augmented Generation solutions.

Key Responsibilities

  • Design, develop, and deploy RAG-based AI applications using Python.
  • Build and optimize document ingestion, indexing, retrieval, and generation pipelines.
  • Integrate LLMs such as OpenAI, Azure OpenAI, Llama, Claude, or similar models.
  • Work with vector databases like FAISS, Pinecone, ChromaDB, Weaviate, or Azure AI Search.
  • Develop REST APIs and backend services using FastAPI, Flask, or Django.
  • Perform prompt engineering, model evaluation, and performance optimization.
  • Collaborate with data scientists, AI engineers, and product teams to deliver AI-powered solutions.
  • Troubleshoot, monitor, and improve production AI systems.

Required Skills

  • Strong programming experience in Python.
  • Hands-on experience with RAG (Retrieval Augmented Generation) architectures.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
  • Knowledge of LLMs, embeddings, vector databases, and prompt engineering.
  • Experience with REST APIs and microservices development.
  • Understanding of cloud platforms such as Azure, AWS, or GCP.

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