Member of Technical Staff , AGI

Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Autonomy organization, and we are looking for a driven and talented Member of Technical Staff to join us to build state-of-the art agents.

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.

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

A day in the life

As a developer in 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 frontend 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.

About the team

The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling 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. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal.

Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we're able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.

Basic Qualifications

m 3+ YOE working in industry (non-internship)

Track record of writing and shipping backend code

Experience in developing distributed cloud-native applications

Comfortable with typescript, Docker, and Postgres in production (or some equivalent DB)

Preferred Qualifications

Knowledge of Kubernetes, AWS, and CDK

Some data pipelining and ETL experience

Some knowledge of frontend development

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company?s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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