Job Description
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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Job Details
- Category
- Aerospace Engineering
- Employment Type
- Internship
- Location
- San Francisco, CA
- Posted
About Dex
DEX is in the business of identifying and delivering supply chain solutions at the lowest total cost to their clients by leveraging their engineering, systems, design, and consulting expertise. These infrastructures and core competencies give DEX an unmatched foundation for supply chain solutions.As a provider of supply chain solutions since 1980, DEX offers a variety of forward and reverse logistics programs for high-tech industries. As pioneers in the industry, DEX knows how it works.
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