Sr. Azure Generative AI Engineer

Greetings from Teknikoz

Experience : 5+years

• Experience 5+ years in software engineering / data science, with 2+ years focused on LLMs.
• Core Focus Core LLM Implementation, RAG Architecture, Prompt Engineering, and Model Integration.
• Key Responsibilities LLM Implementation : Design and implement core business logic and APIs using Python to integrate with the Azure OpenAI Service.
• RAG System Development : Build and optimize Retrieval-Augmented Generation (RAG) pipelines, leveraging Azure AI Search, vector databases, and Azure storage to ground models with proprietary data.
• Prompt Engineering : Develop and maintain complex, dynamic prompts for both chat and other generative tasks, focusing on maximizing model accuracy and reducing hallucinations.
• Model Evaluation : Implement evaluation frameworks and metrics to continuously test and improve the performance of Generative AI models in pre-production and production. Required Skills Expert proficiency in Python and experience with relevant LLM orchestration libraries (e.g., LangChain).
• Deep practical experience with Azure OpenAI Service deployment and configuration.
• Proven ability to design and implement RAG architectures on the Azure platform.
• Solid understanding of NLP, semantic search, and prompt engineering techniques.

Skills Required

Nlp, semantic search, Python