Job Description

Key Responsibilities:

  • Design and implement robust backend services using Python (Django, Flask, or FastAPI)
  • Build and consume RESTful APIs in production environments
  • Integrate machine learning models into scalable applications, including LLMs and agents
  • Work with LLM APIs (e.g., OpenAI) and implement prompt-based workflows, including Retrieval-Augmented Generation (RAG)
  • Manage and query data using Azure SQL, Cosmos DB (NoSQL), and vector databases (e.g., FAISS, Pinecone)
  • Containerize applications using Docker and deploy on Azure Cloud infrastructure
  • Orchestrate data pipelines using tools such as Apache Airflow
  • Collaborate with DevOps to integrate CI/CD pipelines and ensure application observability
  • Apply strong testing (pytest/unittest), debugging, and performance optimization techniques


Skills Required
Python, Azure Sql, Cosmos DB, Pytest

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