Senior Software Development Engineer

4 days ago

Seattle, Washington, United States Amazon Full time
About the Role

Amazon is seeking a highly skilled Senior Software Development Engineer to join our Customer Self-Service and Automation team. As a key member of this team, you will be responsible for architecting and leading the development of robust inference infrastructure for Amazon's conversational AI customer service chatbots. This will involve leveraging state-of-the-art Large Language Models (LLMs) to deliver exceptional conversational AI experiences for our customers.

Key Responsibilities

- Architect and lead the development of robust inference infrastructure for Amazon's conversational AI customer service chatbots, leveraging state-of-the-art Large Language Models (LLMs).
- Design and implement advanced deployment pipelines for seamless integration of LLM models into production environments, ensuring rigorous testing and validation protocols.
- Lead the creation of a sophisticated ML inference service that orchestrates complex interactions between multiple models, including issue prediction, item recommendation, and response generation, to deliver coherent and contextual responses.
- Drive the integration of cross-team services to enable advanced retrieval-augmented generation (RAG) systems, combining LLMs with external knowledge sources and actuation capabilities.
- Innovate and implement cutting-edge observability and logging mechanisms for proactive issue identification, troubleshooting, and maintenance of dialogue states crucial for offline training and continuous model improvement.
- Provide technical leadership and mentorship, collaborating closely with Product Managers, UX designers, Applied Scientists, and other Software Development Engineers to drive the application of machine learning models in delivering exceptional conversational AI experiences.

About the Team

Our team is dedicated to developing and deploying LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.

Requirements

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Proven expertise in architecting and optimizing real-time inference services for large-scale conversational AI systems, with a focus on achieving ultra-low latency and high transactions per second (TPS) in mission-critical customer service environments.
- Deep understanding of the LLM domain, including extensive experience with advanced model compression techniques, quantization methods, and efficient serving strategies for high-performance conversational AI applications.
- Demonstrated ability to balance model accuracy with stringent performance constraints in large-scale production environments
- Track record of technical leadership in developing and deploying AI-driven solutions that significantly impact customer experience and operational efficiency.

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