Generative 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)

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

Description

Gauntlet is a selective, fully funded 10-week fellowship designed for experienced engineers committed to proving they can build and ship production-grade AI systems under real-world conditions. Fellows deliver working systems weekly, collaborate with seasoned operators, and gain direct access to founders, CTOs, and hiring partners.

Participants in our most recent cohort earned 300+ first-round interviews with hiring partners. We aim for 100% of graduates to receive offers from our partner network, with minimum starting compensation of $200,000.

The fellowship runs 10 weeks: 3 weeks conducted remotely, then 7 weeks onsite in Austin, Texas. Participants should anticipate a high-intensity commitment (80–100 hours weekly) structured to maximize learning velocity, performance signal, and career advancement.

Outcomes:

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

If you ship rapidly, perform under pressure, and want your work — not your credentials — to define your next opportunity, apply now.

What you will be doing

  • Deliver production-ready AI applications weekly under strict deadlines
  • Work with modern AI-first workflows including agents, tool use, evals, retrieval, and deployment
  • Collaborate and compete with top-tier engineering talent in a high-feedback setting
  • Present your work directly to CTOs, founders, and hiring partners
  • Convert real project briefs into scoped, reliable, deployable systems

What you will NOT be doing

  • Spending weeks on theory, tutorials, or passive study without delivering systems
  • Creating demos that are never exposed to real usage or evaluation
  • Refining resumes and portfolios instead of building and deploying functional systems
  • Attending weeks of lectures and coursework before engaging with real code

Key responsibilities

Build and ship production-grade AI systems on a weekly basis, transforming demonstrated engineering performance into $200K+ career outcomes through Gauntlet's hiring partner network.

Candidate requirements

  • 3+ years of professional engineering experience (or equivalent ability)
  • Have independently designed, implemented, and deployed at least one working software system to production or active users
  • High responsiveness to feedback and extreme execution intensity
  • Authorized to work in the U.S. without visa sponsorship
  • Willing to commit to 80–100 hour 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 including coding agents, MCP, and real-time collaboration
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Rapid project sprints centered on shipping under constraints

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

  • Agent systems, evals, verification, and observability using LangChain/LangSmith/LangFuse/CrewAI
  • Enterprise-grade delivery including QA, reliability, and high-standards execution
  • Fine-tuning and deployment patterns such as LoRA/QLoRA with production integration
  • Multi-agent modernization of real-world codebases
  • Multimodal AI builds covering image/video/voice and scalable infrastructure on AWS/Azure

Meet some people who've landed similar jobs

Why Crossover

School sucks. So we’re fixing it.

The education Olympics

The education Olympics

It’s hard to qualify – on purpose. High standards mean every educator, leader and EdTech builder is at the top of their game. 

Salary without side gigs

Salary without side gigs

Top performers earn what they’re worth. Six-figure education roles aren’t fantasy here – they’re the baseline for excellence.

Skills make the grade

Skills make the grade

Skills carry more weight that resumes here. Demonstrate learning mastery, AI fluency and passion for what’s next. That’s what counts.

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