Member of Technical Staff - Software Engineering - Full Stack /Front End, AGI Autonomy

San Francisco, California, USA

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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).

Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!


Key job responsibilities
You will contribute directly to AI agent development by building and operating the backend systems that power our research platform. You will be hired as a Member of Technical Staff.

Basic Qualifications


- 3+ years of professional engineering experience (no direct AI experience required)
- Track record of writing and shipping backend code
- Experience developing cloud-native applications and infrastructure
- Proficiency with PostgreSQL or equivalent database in production

Preferred Qualifications

- Bachelor's degree in Computer Science or related field
- Experience as a tech lead or engineering mentor
- Knowledge of Kubernetes, AWS, CDK, data pipelines, and/or ETL
- Familiarity with TypeScript, React, and frontend web development
- Expertise across the software development life cycle, including code standards, reviews, source control management, build processes, testing, and operations
- Excellent problem-solving skills to move fast in a dynamic environment, with a focus on code quality, testing, and performance optimization

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AGI AWS Computer Science Data pipelines Engineering ETL Kubernetes LLMs Pipelines PostgreSQL React Reinforcement Learning Research SDLC Testing TypeScript

Region: North America
Country: United States

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