Member of Technical Staff, Backend, AGI

Member of Technical Staff, Data Platform , AGI

Job  |  Services LLC

Amazon AGI Autonomy develops foundational capabilities for useful AI agents. We are the research lab behind Amazon Nova Act, a state‑of‑the‑art computer‑use agent. Our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in the virtual world. We are a small, talent‑dense lab with the autonomy to move fast and the long‑term commitment to pursue high‑risk, high‑payoff research.

Come be a part of our journey!

We are a research engineering team responsible for data ingestion and research tooling that support model development across the lab. The lab’s ability to train state‑of‑the‑art models depends on generating high‑quality training data and having useful tools for understanding experimental outcomes. We accelerate research work across the lab while maintaining the operational reliability expected of critical infrastructure.

As a backend engineer on the team, you will build and operate core services that ingest, process, and distribute large‑scale, multi‑modal datasets to internal tools and data pipelines across the lab. This is a hands‑on technical leadership role. You will ship a lot of code while defining backend architecture and operational standards across the platform. The platform is built primarily in Type Script today, with plans to introduce Python services in the future.

We are looking for someone who can balance rapid experimentation with operational rigor to build reliable services in a fast‑moving research environment.

• Be highly productive in the codebase and drive the team’s engineering velocity.
• Design and evolve backend architecture and interfaces for core services.
• Define and own standards for production health, performance, and observability.
• Collaborate directly with Research, Human Feedback, Product Engineering, and other teams to understand workflows and define requirements.
• Write technical RFCs to communicate design decisions and tradeoffs across teams.
• Own projects end to end, from technical design through long‑term maintenance.
• Raise the team’s technical bar through thoughtful code reviews, architectural guidance, and mentorship.

• 8+ years of professional software engineering experience.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Experience building and operating backend services for fast‑evolving, user‑facing products.
• Experience designing and evolving APIs that prioritize ergonomics and maintainability.
• Demonstrated history of independently driving ambiguous, open‑ended projects.

• Experience operating at staff‑level, or with significant cross‑team technical influence.
• Experience building high‑throughput services that support complex query patterns.
• Experience with Type Script and/or Python backend development and toolchain.
• Experience designing and operating services on AWS.
• Experience working in startup or research environments with rapidly evolving requirements.

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

We are an inclusive culture that 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, please visit (Use the "Apply for this Job" box below). for more information.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $325,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.