Join our Alexa AI Agent Core team as a Senior Software Development Engineer and play a pivotal role in constructing and expanding the next era of AI runtime infrastructure for Alexa+. You'll be instrumental in architecting model evaluation frameworks and enhancing robust distributed systems that manage expert agent executions and LLM inference pipelines. Your contributions will ensure seamless, low-latency performance for millions of users interacting with Alexa+ devices worldwide, directly impacting their daily experience.

This is a unique opportunity to shape a cutting-edge platform that powers Alexa+'s intelligent capabilities. The AI Runtime team serves as the foundation for Alexa+, orchestrating complex multi-agent systems to deliver magical user interactions at an immense scale with exceptional speed.

Design, develop, and maintain high-availability services essential for Alexa+ model evaluations, encompassing test case management, build processes, and evaluation systems.

Contribute to sophisticated multi-agent coordination systems that ensure requests are routed efficiently to the correct expert agents with minimal latency.

Take ownership of the operational excellence for critical services, guaranteeing 99.99%+ availability in a large-scale environment.

Partner with applied scientists and ML engineers to integrate novel AI functionalities into production systems.

Drive key architectural decisions, striking an optimal balance between performance, reliability, and cost-effectiveness.

Elevate the team's engineering standards through mentorship, insightful code and design reviews, and strong technical leadership.

A minimum of 5 years of professional software development experience, excluding internships, is required.

Proficiency in at least one core programming language is essential, with a minimum of 5 years of hands-on experience.

Demonstrated experience of at least 5 years in leading the design or architecture of new and existing systems, including patterns, reliability, and scaling considerations.

Proven experience as a mentor, tech lead, or in a leadership role within an engineering team.

Experience with the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations is highly valued.

A Bachelor's degree in Computer Science or a related field is preferred.