Gauntlet AI (YC S17): Fly you to Austin, train you in AI, give you $200k+ job

Gauntlet AI offers an intensive 10-week AI engineering program in Austin with all expenses covered, aiming to bridge the gap between AI experimentation and production-grade development, leading to high-paying roles.

Ten weeks. No shortcuts.

Ten weeks of sustained execution that resets how you build. You emerge able to design and ship production-grade AI systems that advance your career.

The Problem

You're already reading the papers, experimenting between meetings, pushing yourself to stay ahead. That energy is real — but scattered effort won't close the gap. You need a forcing function to go from curious to dangerous.

Gauntlet exists because the gap between "experimenting with AI" and building with it as a core primitive doesn't close gradually. It closes in a compressed burst of focused execution.

The Format

Gauntlet is a controlled environment for sustained execution — where every week produces visible proof of what you can build.

Fully Funded: Travel, housing, food, compute, model access are paid for by hiring partners looking to recruit Gauntlet talent.
Full-time from day one: Establish pace, tool fluency, and architectural discipline before the real pressure starts.
In-person in Austin: Relocate. Build in-person. The proximity, intensity, and accountability change how you operate.
Real-time Evaluation: Companies watch you build in real time. Not your résumé — your output, your reasoning, your response to pressure.
Cutting-edge Tools: Challengers use the latest models to extend their skills and push what is possible.
Weekly Shipping: Ship every week. Real constraints. Real deadlines. No hypotheticals.

Proof, Not Promises

Companies don't guess about Gauntlet graduates. They've already watched you ship — under pressure, with rising standards, for ten straight weeks.

Starting Compensation: $200k - $950k
Interviews: First-round interviews secured with partners.
Duration: 10 weeks of sustained execution.

"I came in thinking I was strong. By week four, I realized I'd been building with one hand tied behind my back. By week ten, I couldn't imagine going back."

The Curriculum

Two phases. Escalating complexity. By the end, you're building systems that would have been unimaginable at the start.

Phase 1: AI-First Engineering (Remote)

Week 1-2: Launch: Immersive launch into AI-first engineering. Establish core workflows, coding alongside intelligent agents (Claude Code, Cursor, Codex, MCP).
Week 3-4: RAG & Context: Focus shifts to applying AI-first workflows to enterprise-scale codebases using Vector databases (Pinecone, Weaviate, Qdrant) and RAG frameworks.
Week 5: Agents: Design and ship production-ready AI agents emphasizing reliability and evaluation.

Phase 2: The Gauntlet (In-person in Austin)

Week 6-7: Client Projects: Execute multiple real client projects, translating ambiguous requirements into production-ready systems.
Week 8: Enterprise & Fine-tuning: Work with large-scale systems, adapting and deploying fine-tuned models within enterprise constraints.
Week 9: Agentic Refactoring: Modern AI meets legacy software as challengers coordinate agent teams to refactor and modernize complex codebases.
Week 10: Multi-modal & Capstone: Rapidly learn new domains (Eleven Labs, Midjourney, etc.) and deploy a comprehensive AI system capable of real-world optimization.