Join us in pushing the boundaries of what's possible with LLMs and browser-native AI. You'll work on cutting-edge problems in agent systems, context handling, and tool use, while collaborating directly with our research team to bring novel approaches to production.
## What You'll Build
* Browser agent and tool-calling systems.
* Evaluation frameworks for agent performance.
* Memory and personalization layer for workflows
## Requirements
* Research/work experience with LLMs, modern AI frameworks, and/or ML.
* Experience with prompt engineering strategies.
* Strong foundation in Python and TypeScript.
## Sample Projects
* Agentic systems that predict and execute users’ next steps in complex workflows.
* A searchable, self-updating memory store for personalized browser agent behaviour.
* Designing intuitive interfaces for how users should delegate and override AI actions.
* A system to interpret DOM snapshots, mouse click events, and keyboard inputs to select browser actions.
* A context composer that feeds relevant info into LLM prompts based on user interactions, page content, and memory.
Visa sponsorship is not available for this role.
