Software Development Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Artificial Intelligence
In short
Amazon is seeking a Software Development Engineer to build next-generation AI-powered learning and coaching systems for its Customer Service Associates. This greenfield role involves designing and developing scalable services focused on generative AI, personalization, and data-driven development, impacting a global workforce.
Responsibilities
- Design and build scalable services for personalized learning and coaching.
- Develop AI-powered coaching capabilities, including generative AI applications.
- Build systems connecting associate performance signals with development interventions.
- Create closed-loop systems to measure intervention outcomes and improve recommendations.
- Translate emerging models and experimentation into reliable production systems.
- Make foundational architectural decisions for a greenfield product.
- Design APIs, data models, and integration patterns for associate development capabilities.
- Build mechanisms for experimentation, measurement, and observability.
- Deliver secure, reliable, and globally scalable systems with high operational excellence.
Requirements
- 3+ years of non-internship professional software development experience.
- 2+ years of experience in design or architecture of new and existing systems (design patterns, reliability and scaling).
- Experience programming with at least one software programming language.
- 3+ years of full software development life cycle experience (coding standards, code reviews, source control, build processes, testing, operations).
- Bachelor's degree in computer science or equivalent.
- Experience designing and building large-scale distributed systems or customer-facing platforms.
- Experience building applications using machine learning, generative AI, large language models, recommendation systems, or personalization.
- Experience taking ambiguous or zero-to-one technical problems from concept through production.
- Experience designing systems that integrate data and capabilities across multiple services and organizational boundaries.
- Experience with experimentation, measurement, and data-driven product development.
#Software Development#AI#Machine Learning#Generative AI#Personalization#Learning Systems#Coaching Systems#Distributed Systems