Engineer in Residence, AICoS
At a glance
Mid-level Software Engineering role at AIFund. Mountain View · contract · $10,000–$30,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build the pipeline that pulls decisions, owners, deadlines and open questions out of meeting context
- Connect each task to its project and owner, then build manager review and follow-up workflows
- Link workplace tools through integrations, and add checks for extraction errors, misrouted work and duplicate tasks
- Test the manager workflow with users, then adjust the product based on which features prove useful day to day
- Shape product scope and technical risks with the build team as the idea develops
What you bring
- Strong full-stack or backend skills across workflow products, APIs, data models and production integrations
- Hands-on experience building GenAI systems for structured extraction, tool use, agent workflows and quality checks
- Experience connecting workplace software such as task tools, calendars, messaging or document platforms
- US work authorization, as visa sponsorship is unavailable
Who this fits
This suits a hands-on builder who wants to make manager coordination workflows dependable and useful in daily work. It is a full-time, on-site contract residency in Mountain View lasting twelve weeks. The work tests an AI Fund concept rather than developing your own startup idea; a successful build may lead to a founder-level role.
From the employer
Engineer in Residence, AICoS
Managers with heavy meeting loads spend hours translating conversations into decisions, action items, owners, and follow-ups. The tools record what happened, but they rarely close the loop across projects and people. This role is to build an AI chief of staff that turns meeting context into structured work, routes it correctly, and keeps commitments moving without creating another system for managers to maintain.
What You'll Build
- A meeting intake and extraction pipeline that identifies decisions, action items, owners, deadlines, and unresolved questions.
- A routing engine that maps work to the right project, person, and operating context.
- A review and follow-up system that drafts nudges, prepares one-on-ones, and keeps action items current.
- A lightweight work graph and integration layer across tools such as Slack, Asana, Notion, Google Workspace, and calendars.
What You'll Do
- Own the product across meeting ingestion, structured extraction, routing, manager review, integrations, and deployment.
- Design the context model that connects people, projects, decisions, and commitments without requiring heavy setup.
- Build evals and guardrails for extraction quality, incorrect routing, duplicate tasks, and unhelpful follow-ups.
- Test the single-player manager workflow quickly and learn which parts create enough daily value before team adoption.
- Work with AI Fund's build team on product scope, technical risk, and the path from manager utility to a broader operating system.
What You Need
- Strong full-stack or backend engineering ability across workflow products, APIs, data models, and production integrations.
- Demonstrated experience building GenAI systems for structured extraction, agentic workflows, tool use, evals, and guardrails.
- Experience integrating workplace tools, task systems, calendars, messaging products, or document platforms.
- Product judgment for human-in-the-loop automation where managers can review important decisions without becoming the system's full-time operator.
- You know how to use AI coding assistants and modern AI tools to accelerate implementation without surrendering engineering judgment.
- US work authorization. We are unable to sponsor visas for this role.
Helpful But Not Required
Experience with meeting transcription, audio pipelines, or calendar intelligence.
Experience building productivity, project-management, or collaboration software.
Founder or founding engineer experience shipping a workflow product from zero to one.
Who This Is For
A builder who is impatient with coordination work that software should already handle.
Someone who can make an AI workflow feel dependable enough to become part of a manager's daily operating rhythm.
What To Know Upfront
- This is a 12-week, full-time, on-site residency in Mountain View, California.
- Not every residency becomes a company. The goal is to pressure-test the idea quickly and honestly with real users and customers.
- You will be building an AI Fund idea, not bringing your own startup idea into the program.
- The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Builder Challenge, then panel review with AI Fund build leadership.
- The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role.
Compensation
$10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.