Amazon Software Development Engineer AGI 

United States, Washington, Bellevue 

731511042

Key job responsibilities
* Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best conversational agent.
* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying large language models required for building conversational agents.
* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
* Work closely with Applied scientists to process massive data, scale machine learning models while optimizing
Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.A day in the life
As a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art Conversational Assistant agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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