Python And AI Engineer

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