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 who want to accelerate their careers by demonstrating their ability to build and ship production-grade AI systems in high-pressure, real-world conditions. Fellows ship work weekly, collaborate with experienced operators, and gain direct access to founders, CTOs, and hiring partners.

In the most recent cohort, participants earned 300+ first-round interviews with hiring partners. The program's objective is for 100% of graduates to receive offers from the partner network, with starting compensation no lower than $200,000.

The fellowship spans 10 weeks: the first 3 weeks are remote, and the remaining 7 weeks are onsite in Austin, Texas. Fellows should anticipate a demanding schedule (80–100 hours per week) structured to optimize learning velocity, performance signal, and career impact.

Outcomes:

  • 10+ production AI applications deployed throughout the fellowship
  • Entry into Gauntlet's alumni and hiring partner network
  • Job offers starting at $200,000+ from hiring partners upon graduation

What you will be doing

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

What you will NOT be doing

  • Dedicating weeks to theory, tutorials, or passive study without shipping deliverables
  • Creating demos that are never subjected to real usage or evaluation
  • Depending on credentials rather than producing measurable output
  • Operating in low-intensity settings with flexible or negotiable timelines

Candidate requirements

  • 3+ years of professional engineering experience (or demonstrated equivalent ability)
  • Strong problem-solving skills, rapid learning capability, and clear reasoning under pressure
  • High receptiveness to feedback and exceptional execution intensity
  • Authorization to work in the United States without requiring visa sponsorship
  • Willingness to commit to 80–100 hour weeks and relocate to Austin for the 7-week onsite phase

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) — Foundations of AI-First Engineering

  • AI-first development workflows, including coding agents, MCP, and real-time collaboration
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Fast-paced 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 practices: quality assurance, reliability, and high-standards execution
  • Fine-tuning and deployment patterns (LoRA/QLoRA combined with production integration)
  • Multi-agent modernization of existing real-world codebases
  • Multimodal AI development (image/video/voice) and scalable 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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