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.