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 seasoned engineers seeking to advance their careers by demonstrating their ability to build and deploy production-quality AI systems under authentic operational pressure. Fellows deliver weekly shipments, collaborate with seasoned operators, and gain firsthand access to CTOs, founders, and partner companies.

Participants in our latest cohort earned more than 300 first-round interviews across our hiring partner network. We aim for every graduate to secure offers from partner organizations, with baseline compensation starting at $200,000.

The fellowship consists of 10 weeks total: an initial 3-week remote phase, then 7 weeks on location in Austin, Texas. Participants should anticipate a demanding weekly commitment (80–100 hours) structured to accelerate learning velocity, professional signal, and career advancement.

Program Outcomes:

  • More than 10 live AI applications delivered throughout the fellowship
  • Entry into Gauntlet's alumni and hiring partner ecosystem
  • Job offers starting at $200,000+ for graduates from partner firms

If you ship rapidly, thrive under deadline pressure, and prefer your work—not your CV—to define your next opportunity, submit your application today.

What you will be doing

  • Deliver production-ready AI systems weekly against firm deadlines
  • Work with contemporary AI-first engineering practices (agents, tool integration, evaluations, retrieval architectures, deployment pipelines)
  • Engage in collaborative competition with elite engineers in a feedback-intensive setting
  • Showcase your work in direct sessions with founders, CTOs, and partner decision-makers
  • Convert authentic project briefs into scoped, dependable, deployable solutions

What you will NOT be doing

  • Investing weeks in theoretical study, passive tutorials, or learning without deployment
  • Creating prototype demos disconnected from actual usage or assessment
  • Refining résumés and portfolios in place of constructing and shipping functional systems
  • Attending extended lectures and coursework before engaging with production code

Key responsibilities

Build and deliver production-grade AI systems on a weekly cadence, translating demonstrated engineering excellence into career outcomes of $200K+ through Gauntlet's network of hiring partners.

Candidate requirements

  • 3+ years of professional engineering experience (or demonstrable equivalent capability)
  • Must have independently designed, built, and shipped at least one complete software system to production or live users
  • Strong responsiveness to feedback and capacity for extreme execution intensity
  • Work authorization in the U.S. without requirement for visa sponsorship
  • Readiness to commit to 80–100 hour workweeks 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 Phase (Weeks 1–3) — Foundations in AI-First Engineering

  • AI-native development workflows (coding agents, MCP, real-time collaboration tools)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector database architectures
  • High-velocity project sprints emphasizing delivery under constraints

Phase 2: On-Site in Austin (Weeks 4–10) — Scaling Production AI

  • Agent architectures, evaluation systems, verification frameworks, and observability tooling (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-level execution: quality assurance, system reliability, and high-standard delivery
  • Fine-tuning and deployment strategies (LoRA/QLoRA + production-ready integration)
  • Multi-agent approaches to modernizing legacy codebases
  • Multimodal AI implementations (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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