Microsoft is looking to solve challenging AI problems by building a truly open architecture v1 platform to enable and reimagine how users can summon bespoke AI agents to drive real meaningful business outcomes.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 2+ years of experience with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code.
- 2+ years of experience with successful demonstration of system security, scalability, reliability, and maintainability.
- 1+ years experience designing and implementing ML/LLM-based solutions in production environments.
- Experience leveraging generative AI technologies to develop innovative and user-focused product features.
- Capable of optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability.
Responsibilities
- 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.
- design, develop, and deploy sophisticated software systems at scale, with an experimentation and iterative mindset.
- designing and implementing ML/LLM-based solutions in production environments.
- leveraging generative AI technologies to develop innovative and user-focused product features.
- optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability.
- Experience coaching and growing engineers within the team.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- customer passion, a bias for action, and an ability to work effectively across organizational boundaries.
- Microsoft is an equal opportunity employer.
