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.