Visiting Engineer: AICoS (AI Chief of Staff)

career•Mountain View, CA

39d•Onsite

About The Position

AI Fund is Andrew Ng's venture studio, focused on identifying high-potential applied AI ideas and creating new companies. The Visiting Engineer role is a 12-week residency in Mountain View, CA, where participants work alongside Andrew Ng and the AI Fund team to develop an idea from concept to a working product. The specific idea for this residency is AICoS (AI Chief of Staff), an AI-powered tool designed to automate the post-meeting tasks that managers often find burdensome, such as extracting action items, routing them to the correct projects and individuals, managing follow-ups, preparing for 1:1s, and updating task boards. The goal is to create a system that goes beyond simple transcription to automatically sort, assign, and nudge tasks, aiming to become an indispensable daily tool for managers. The core validation question is whether the auto-sorting feature, independent of team adoption, is compelling enough to drive daily usage by individual managers.

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.