Python Gen AI Engineer

About the Role

Seeking a highly skilled Generative AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GenAI Amplifier, Azure, AWS, SQL, LLMOps, and MLOps. The role involves designing, developing, deploying, and optimizing enterprise-grade AI solutions leveraging advanced GenAI technologies and cloud platforms.

Key Responsibilities

• Design, develop, and implement Generative AI solutions using LLMs and RAG frameworks.
• Build and optimize AI applications utilizing OpenAI, Azure OpenAI, Anthropic, Llama, and other foundation models.
• Develop scalable AI services and APIs using Python.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Design and manage end-to-end MLOps and LLMOps pipelines for model deployment, monitoring, and governance.
• Leverage GenAI Amplifier frameworks for rapid AI solution development and deployment.
• Develop AI-powered chatbots and virtual assistants.
• Deploy AI applications on Azure and AWS cloud environments.
• Implement model monitoring, prompt engineering, model evaluation, and AI observability practices.
• Collaborate with business stakeholders, architects, and cross-functional teams to translate business requirements into AI solutions.
• Ensure compliance with AI governance, security, responsible AI, and data privacy standards.
• Mentor junior team members and contribute to AI best practices and innovation initiatives.

Requirements & Tech Stack

• Python
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• GenAI Amplifier
• Azure
• AWS
• SQL
• LLMOps
• MLOps
• OpenAI
• Azure OpenAI
• Anthropic
• Llama
• Vector databases
• Embedding models