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.
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