---
title: "Talent: How We Build and Develop Engineers"
description: "Lid Vizion cohorts learn by building real AI workflows, integrations, internal tools and product systems alongside the core team."
url: https://lidvizion.ai/talent/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

Talent

# We build people by building things.

Cohorts work alongside the core team on AI workflows, integrations, internal tools and product systems — and leave with shipped demos, not just certificates.

[See what they built](https://lidvizion.ai/work/) · [Talk to us](https://lidvizion.ai/contact/)

1. Kickoff
2. Build weekly
3. Ship a demo
4. Present

How a cohort runs

## Real problems. Weekly shipping.

The same working sequence we use with clients: map the job, build the smallest useful thing, measure it.

1. **Kickoff**
   Every cohort starts with a real problem, a scoped project and a clear definition of done.
2. **Build weekly**
   Weekly working sessions: demo what changed, review the code, decide the next step.
3. **Ship a demo**
   Work is recorded as a working demo — the same standard we hold client work to.
4. **Present**
   Cohorts close with final presentations to the team.

Cohorts

## Every season, a new build.

1. **Spring 2025**
   First structured cohort working alongside the core team on client-style builds.
2. **Summer 2025**
   AI systems and product builds, from scoped problem to working demo.
3. **Fall 2025**
   Semester of project work closed out with final presentations to the team.
4. **Summer 2026**
   An AI-agent project cohort, with a kickoff and weekly working sessions.

What they work on

## The work is the curriculum.

Cohort projects feed directly into the builds on our work page.

[See the work](https://lidvizion.ai/work/)

1. Agent workflow
   **[AI Form Reviewer](https://lidvizion.ai/work/#ai-form-reviewer)**
   An agent that reads a submitted form, checks it against the rules, and prepares a review for a person to approve — built around a real-estate document flow.
2. Document AI
   **[Document Intelligence](https://lidvizion.ai/work/#document-intelligence)**
   Structured data from real documents, with a review screen for the fields that need a human check.
3. Workflow automation
   **[Agents & automation](https://lidvizion.ai/work/#agents-automation)**
   Lead intake, CRM updates, alerts and scheduling handled by bounded agents, with a person in the loop.
4. Computer vision
   **[MediaPose](https://lidvizion.ai/work/#mediapose)**
   Pose estimation that counts reps, scores form and tracks athletes in video — squats, baseball throws and more.

What we look for

## Curious builders.

- You would rather ship a rough demo than polish a slide.
- You want feedback on real code, every week.
- You care about where people stay in the loop, not just what the model can do.
- You can explain what you built and why it matters.

Join a cohort

## How to apply.

Cohorts are small and project-based. Applications stay open between cohorts.

1. 01 / Send your work
   A link to something you built — a repo, a demo video or a deployed app — and what you want to build next.
2. 02 / Short conversation
   We talk through what you built, how you made decisions, and which project track fits.
3. 03 / Project match
   You join a cohort project with a scoped problem, a definition of done and a weekly demo.
4. 04 / Build and present
   Weekly working sessions, then a final demo recorded to the same standard as client work.

Questions

## Before you apply.

### Who are cohorts for?

Builders who learn by shipping: students, career changers and working engineers who want real AI projects with feedback on real code.

### What do cohorts work on?

AI workflows, integrations, internal tools and product systems — the same kinds of systems on our work page.

### What do I need to apply?

Something you built and can explain. It does not need to be polished; we care how you think and how you ship.

### How do I apply?

Use the contact page and include a link to your work and the track you are interested in.

Join a cohort

## Want to build with us?

Tell us what you want to work on and what you have built so far.

[Get in touch](https://lidvizion.ai/contact/) · [See the work](https://lidvizion.ai/work/)