Visiting Engineer: AICoS (AI Chief of Staff)

AIFund•Mountain View, CA

1d•$10,000 - $10,000•Onsite

About The Position

AI Fund is Andrew Ng's venture studio, focused on identifying high-potential applied AI ideas and creating new companies. Visiting Engineers participate in a 12-week residency in Mountain View to develop an idea from concept to a working product alongside Andrew Ng and the AI Fund team. Successful validation can lead to co-founder status. The specific idea, AICoS (AI Chief of Staff), aims to create an AI-powered tool that automates the post-meeting tasks managers typically find burdensome, such as extracting action items, routing them to the correct projects and individuals, managing follow-ups, preparing for 1:1 meetings, and updating task boards. While existing tools like Asana, Notion, and Slack are available, they do not automatically close the loop on these tasks. This role will leverage LLMs to go beyond simple capture to automatic sorting, assignment, and nudging of action items, functioning as a 'Cursor for task management' that understands the work graph. The core validation question is whether auto-sorting, rather than just flat-list capture, is a compelling enough feature to drive daily tool adoption by managers before team-wide implementation.

Requirements

Demonstrated experience building applications that incorporate Generative AI
Direct experience with workflow automation systems or productivity tool development
NLP pipeline experience for structured extraction from unstructured text (meeting transcripts, emails, documents)
Integration development across workplace tools (Slack, Asana, Notion, Google Workspace, calendar APIs)
LLM application development with prompt engineering and output quality evaluation
Proficiency with GenAI tools and frameworks: RAG, vector databases, agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrails
Strong back-end skills, particularly with Python, and experience with front-end technologies and modern frameworks
Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective use
Proven track record of architecting, implementing, and deploying scalable AI-powered systems
Ability to write scrappy, disposable code for fast prototyping, and clean code for scalable products
Strong communication skills and ability to work collaboratively across disciplines

Nice To Haves

Experience with meeting transcription or audio processing pipelines
Prior work on task management, project management, or calendar intelligence tools
Experience gathering user feedback directly and iterating based on insights
Exposure to rapid prototyping methodologies and shipping MVPs
Contributions to open-source GenAI projects or tools
Prior experience as a founding engineer or technical lead at an early-stage company
Knowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design)
Interest or experience in product design and product thinking

Responsibilities

Build the meeting-to-action-item extraction pipeline with accurate project and person routing
Develop the auto-sorting engine that maps action items to the correct project context and assignee
Create the nudge and follow-up generation system that drafts communications without human intervention
Ship a working prototype that a single manager can use daily before any team rollout
Validate whether single-player value (one manager, before team adoption) is sufficient to drive retention
Make key decisions around infrastructure and platform choices, balancing prototyping speed with long-term scalability
Apply GenAI building blocks (prompt engineering, agentic frameworks, evals, and guardrails) to real-world development
Collaborate closely with Andrew Ng and the AI Fund team to bring this idea from concept to working product