AGI Autonomy is focused on developing new foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
As an developer on our research engineering team, you will design, build, and maintain a platform that powers actuation services, researcher tooling, and API development for building our best-in-class AI agents. You’ll also work closely with our engineers and researchers to ensure agent performance across the board. For this role, we’re looking for a backend leaning, full-stack engineer.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.
Key job responsibilities
* Maintain the backend systems and databases that power our research platform
* Improve our CD infrastructure to our various environments
* Keep our build environments up to date and configure our data pipelines
* Construct reliable APIs for developers to build agent-powered products
* Build tooling to collect high quality annotated data
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs
* Manage project prioritization, deliverables, timelines, and stakeholder communication
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy
* Operate in a dynamic environment to deliver high quality software against aggressive schedules
About the team
Our team is driven by a passion for pushing the boundaries of what AI can achieve. We are a diverse group of engineers, researchers, and innovators, committed to building AI systems that are capable of assisting and augmenting human intelligence in meaningful ways. Our work spans cutting-edge advancements in reinforcement learning, natural language processing, and multimodal systems, with a focus on creating agents that empower users to accomplish complex tasks efficiently and intuitively.
