Member of Technical Staff, Backend, AGI

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!

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About the team:

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.

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About the role:

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 TypeScript 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.


Key job responsibilities
- 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.