Within AI Platform, the Azure ML team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning models

Our company is heavily investing in Artificial Intelligence (AI) as a significant growth opportunity, with Bing Chat and numerous Large Language Model (LLM) driven innovations occurring across and disrupting various industries

AzureML is dedicated to creating a platform that simplifies the development of cutting-edge applications on top of LLMs for both first-party Microsoft teams and third-party customers. We recently launched the public preview of AI Studio portal and the code-first solution Gen AI SDK to democratize AI technology, making it accessible to enterprises, developers, and data scientists

Our team, the AzureML Experiences Team, is at the forefront of ensuring these products excel from an engineering standpoint, while introducing and enhancing vital capabilities that make LLM consumption frictionless for production use, meeting enterprise security, isolation, and compliance requirements

We are committed to fostering a culture of inclusion, collaboration, creativity, and meritocracy, valuing and respecting the unique contributions of each team member. Diverse perspectives are crucial for driving innovation and building cutting-edge AI technologies

We are seeking a Software Engineer II to join our AzureML Experiences Team. In this role, you will collaborate with a group of front-end engineers currently developing the AI Studio portal and Software Development Kits (SDKs) to scale LLM applications for production use

We are searching for motivated, result-oriented, and collaborative individuals with a drive for results. You will work alongside talented engineers who enjoy solving intriguing problems, embracing open source, and comfortably navigating technologies and stacks

Join our team and help make AI accessible for addressing challenging global issues. This role has the potential to evolve into a management position. Apply now!

Azure AI Studio deep dive demo https://youtu.be/Qes7p5w8Tz8?si=rNjFBsLZLnlhcBU6

• Identify requirements, scope solutions, estimate work, and schedule deliverables
• Apply engineering principles to establish robust and maintainable architecture and designs
• Promote and drive the adoption of good coding standards and patterns · Develop software using languages such as C#, TypeScript, JavaScript, React, and others
• Collaborate with partner teams to comprehend, define, enhance, and develop AzureML capabilities · Respond, resolve, and integrate customer feedback with agility and dedication
• Lead by example, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incident