AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. This role is part of the AWS Q Developer team, focusing on Generative AI initiatives to enhance developer productivity. As a Senior Application Engineer, you'll be instrumental in driving human-in-the-loop initiatives for large language models and improving model quality.
The team works on cutting-edge services like Amazon CodeWhisperer, using state-of-the-art deep learning techniques and highly scalable distributed systems. You'll collaborate closely with Product, Science & Engineering teams to understand and deliver high-quality data requirements for models. The role involves solving real-world problems affecting developer productivity in coding, testing, implementation, and troubleshooting.
AWS values diverse experiences and maintains an inclusive team culture. The organization offers extensive knowledge-sharing opportunities, mentorship programs, and career advancement resources. Team members enjoy one-on-one mentoring and thorough code reviews in a supportive environment that celebrates knowledge sharing.
The position offers work-life harmony, with flexibility as a core part of the working culture. You'll be part of AWS's mission to become Earth's Best Employer, working with a team that embraces uniqueness through employee-led affinity groups and ongoing learning experiences like Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.
This is an excellent opportunity for experienced engineers passionate about Generative AI, automation, and enhancing developer experiences. You'll work with state-of-the-art technology while contributing to innovative solutions that shape the future of cloud computing and developer productivity.