About Thirdlayer
Continual learning for enterprise AI. Backed by Y Combinator.
About the role
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 they're looking for
- Research/work experience with LLMs, modern AI frameworks, and/or ML
- Experience with prompt engineering strategies
- Strong foundation in Python and TypeScript
More about this role
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.
- Browser agent and tool-calling systems.
- Evaluation frameworks for agent performance.
- Memory and personalization layer for workflows
- Research/work experience with LLMs, modern AI frameworks, and/or ML.
- Experience with prompt engineering strategies.
- Strong foundation in Python and TypeScript.
- 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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