AI Engineer
$200,000+ Offers For Graduates $200,000+ Offers For Graduates 

3 weeks remote, 7 weeks onsite in Austin, TX
80–100 hours/week for 10 weeks
Short-term contract
Hybrid location
full-time (90 hrs/week)

AI Engineer   $200,000+ Offers For Graduates $200,000+ Offers For Graduates 

Description

Gauntlet is a selective, fully funded 10-week fellowship designed for seasoned engineers who want to prove their ability to build and deploy production-grade AI systems in high-pressure, real-world environments. Fellows deliver work weekly, collaborate with seasoned operators, and gain direct access to founders, CTOs, and hiring partners.

In the most recent cohort, participants earned over 300 first-round interviews with hiring partners. Our objective is for every graduate to receive job offers from our partner network, with starting compensation of at least $200,000.

The fellowship spans 10 weeks: the first 3 weeks are remote, followed by 7 weeks onsite in Austin, Texas. Participants should prepare for a rigorous schedule (80–100 hours per week) structured to optimize learning velocity, performance signal, and career advancement.

Outcomes:

  • 10+ live AI applications deployed throughout the fellowship
  • Access to Gauntlet's alumni and hiring partner network
  • Graduates secure job offers starting at $200,000+ from hiring partners

What you will be doing

  • Deliver production-ready AI applications weekly under strict time constraints
  • Work with modern AI-first development practices (agents, tool integration, evaluations, retrieval, deployment pipelines)
  • Collaborate and compete with elite engineering peers in a high-feedback setting
  • Present completed work directly to founders, CTOs, and hiring partners
  • Transform real-world briefs into well-scoped, reliable, deployable systems

What you will NOT be doing

  • Spending weeks on theory, tutorials, or passive study without delivering working software
  • Creating demos that are never tested in real-world usage or evaluation
  • Depending on credentials rather than demonstrable output
  • Operating in low-intensity environments with flexible or relaxed timelines

Candidate requirements

  • 3+ years of professional engineering experience (or demonstrable equivalent capability)
  • Strong problem-solving skills, rapid learning ability, and clear reasoning under pressure
  • High responsiveness to feedback and sustained execution intensity
  • Authorized to work in the U.S. without requiring visa sponsorship
  • Willing to commit to 80–100 hour work weeks and relocate to Austin for 7 weeks

Meet a successful candidate

Watch Interview
Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil

Does your company encourage your natural creativity? This Brazilian engineering leader rediscovered his purpose after unleashing both his an...

Meet Fabiano

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

Frequently asked questions

About Crossover

What you will learn

Phase 1: Remote (Weeks 1–3) — AI-First Engineering Foundations

  • AI-first development workflows (coding agents, MCP, real-time collaboration)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Rapid project sprints with a focus on shipping under constraints

Phase 2: Onsite in Austin (Weeks 4–10) — Production AI at Scale

  • Agent systems, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-grade delivery: quality assurance, reliability, and high-standards execution
  • Fine-tuning and deployment patterns (LoRA/QLoRA with production integration)
  • Multi-agent modernization applied to real-world codebases
  • Multimodal AI development (image/video/voice) and scalable cloud infrastructure (AWS/Azure)

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.

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