Role responsibilities
Design, develop, and scale secure, cloud-native AI platform services and public APIs to enable AI adoption across the product portfolio. Collaborate with cross-functional teams to build production-grade AI capabilities, including model deployment and training tooling.
Requirements
Requires experience with LLMs, RAG, and AI orchestration frameworks, along with proficiency in Python and AI tools like PyTorch or TensorFlow. Candidates should have a strong background in cloud-native development, specifically within Microsoft Azure.
Key skills
Large Language Models, Retrieval-Augmented Generation, Python, PyTorch, TensorFlow, Microsoft Azure, RESTful API Design, Prompt Engineering, Agent Orchestration, Cloud-native Services, GitHub Copilot, ML Algorithms, API Security, Agile Methodology, SDK Development, Model Context Protocol
Keywords
AI Software Engineer, LLM, RAG, Agentic Frameworks, Python, PyTorch, TensorFlow, Microsoft Azure, Azure Functions, AKS, API Management, RESTful API, .NET, GitHub Copilot, Model Context Protocol, Agent2Agent, Cloud-native, Scrum, Agile, NIST AI RMF, EU AI Act, Responsible AI, Machine Learning, Regression, Classification, Clustering, Deep Learning, SDK, Data Pipelines, Orchestration