Requirements:

Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Competence with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code
Solid understanding and successful demonstration of system security, scalability, reliability, and maintainability
Practical Experience with AI/LLMs: Experience designing and implementing ML/LLM-based solutions in production environments
Experience leveraging generative AI technologies to develop innovative and user-focused product features

Nice to Haves:

Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND proficient technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Capable of optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability
Experience coaching and growing engineers within the team

This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development from inception to delivery, ensuring exceptional quality and seamless implementation
Working closely with some of the world's most recognizable brands, helping them catapult into the AI transformation era
Designing, developing, and deploying sophisticated software systems at scale with an experimentation and iterative mindset
Demonstrating customer passion, a bias for action, and an ability to work effectively across organizational boundaries

Benefits/perks listed may vary depending on the nature of your employment with Microsoft and the country where you work