Sr. Azure AI Developer
3 days ago
Role & responsibilities
- Develop and implement enterprise-grade LLM-based applications (e.g., RAG, agents, and copilots) using Azure OpenAI, LangChain, and Semantic Kernel.
- Write high-quality, maintainable, and efficient code in Python, including data processing scripts (potentially with PySpark) and API endpoints.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines, integrating vector search capabilities using Azure Cognitive Search, FAISS, or similar technologies.
- Collaborate with AI Architects and Product Owners to translate requirements and architectural designs into technical specifications and working code.
- Implement and manage MLOps pipelines for model deployment, monitoring, and lifecycle management using Azure Machine Learning, Azure DevOps, and GitHub Actions.
- Integrate AI models and services with other business applications and data sources using Azure Functions, APIM, Logic Apps, and Service Bus.
- Implement robust testing, debugging, and performance tuning for AI applications to ensure scalability and reliability.
- Mentor junior developers, conduct regular code reviews, and promote development best practices (e.g., TDD, clean code).
- Stay current with the latest Azure AI services and Generative AI techniques, experimenting with new tools and frameworks to drive innovation.
Preferred candidate profile
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