Member of Technical Staff, Frontend, 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 frontend engineer on the team, you will build the platform and tooling that power data creation, evaluation, and experimentation across the lab. Your work will be used daily by annotators, engineers, and researchers.

This is a hands-on technical leadership role. You will ship a lot of code while defining frontend architecture, shared abstractions, and UI systems across the platform. We are looking for someone with strong engineering fundamentals, sound product judgment, and the ability to build polished UIs in a fast-moving research environment.


Key job responsibilities
- Be highly productive in the codebase and drive the team’s engineering velocity.
- Define and evolve architecture for a research tooling platform with multiple independently evolving tools.
- Design and implement reusable UI components, frontend infrastructure, and APIs.
- 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 implementation, rollout, and long-term maintenance.
- Raise the team’s technical bar through thoughtful code reviews, architectural guidance, and mentorship.