Dex Verified
Software, Productivity Tools, Personal CRM
AI Engineer Intern
San Francisco, California, United StatesOnsiteContractJunior / Entry-level$30–$60 /hrPosted 2 months agoHidden Gem · YC Startup
Role summary
This internship focuses on AI engineering, specifically working with Large Language Models (LLMs) and browser-native AI. Interns will contribute to cutting-edge projects involving agent systems, context handling, and tool use, collaborating with a research team to bring novel AI approaches into production. Key responsibilities include building browser agent and tool-calling systems, developing evaluation frameworks for agent performance, and creating memory and personalization layers for AI workflows. The role requires research or work experience with LLMs, modern AI frameworks, ML, prompt engineering strategies, and proficiency in Python and TypeScript.
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.
## 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.
Similar roles
Senior AI EngineerData Capital Incorporation · United States · Remote
Senior AI EngineerRealPage, Inc. · Richardson, Texas, United States · Onsite
AI EngineerFetchJobs.co · Richmond, Virginia, United States · Remote
Distinguished AI EngineerCapital One · Mclean, Virginia, United States · Onsite- AI EngineerHaystack · United States · Hybrid
