About the job
Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).
Responsibilities
Responsible for building the infrastructure + SDKs needed to integrate web applications and their associated tasks into a production RL environment with significant concurrency limits and operational requirements.
Architect and deliver robust software solutions throughout the development lifecycle
Design and implement applications using modern TypeScript and Python
Build and deploy cloud-native applications and RESTful APIs
Engineer and optimize high-performance systems at scale
Collaborate with cross-functional stakeholders to deliver aligned features
Mentor junior engineering staff
Maintain technical documentation and architectural decision records
Qualifications
Minimum
Implement observability, monitoring, and testing frameworks
Manage PostgreSQL (or equivalent) databases in production
Conduct code reviews and provide constructive feedback
Preferred
Assume technical leadership and guide architectural decisions
Enhance product quality with focus on UX and DX
Contribute to machine learning initiatives and architect scalable AI pipelines