Python ML /GenAI

About the Role

Develop and maintain Generative AI applications using Python.

Build AI-powered chatbots, virtual assistants, and automation solutions.

Integrate Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.) into applications.

Design and optimize prompts to improve model performance and accuracy.

Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.

Work with frameworks like LangChain, LlamaIndex, and Semantic Kernel.

Develop REST APIs and integrate AI services with web applications.

Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.

Perform testing, debugging, and performance optimization of AI applications.

Key Responsibilities

• Develop and maintain Generative AI applications using Python.
• Build AI-powered chatbots, virtual assistants, and automation solutions.
• Integrate Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.) into applications.
• Design and optimize prompts to improve model performance and accuracy.
• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Work with frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop REST APIs and integrate AI services with web applications.
• Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.
• Perform testing, debugging, and performance optimization of AI applications.

Requirements & Tech Stack

• Strong proficiency in Python programming.
• Knowledge of Generative AI concepts, LLMs, and Prompt Engineering.
• Experience with OpenAI/Azure OpenAI APIs.
• Hands-on experience with LangChain, LlamaIndex, or similar frameworks.
• Knowledge of RAG Architecture and vector databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
• Experience with REST APIs, FastAPI, or Flask.
• Understanding of Git and version control systems.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.