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 accelerate their career trajectory by demonstrating their capacity to build and deploy production-quality AI systems under demanding real-world conditions. Participants deliver working products weekly, collaborate with seasoned practitioners, and gain direct access to CTOs, founders, and recruiting partners.

Participants in our latest cohort obtained over 300 first-round interviews through our hiring partner network. We target 100% offer conversion for graduates from our partner ecosystem, with base compensation starting at a minimum of $200,000.

The fellowship spans 10 weeks: an initial 3-week remote phase, then 7 weeks onsite in Austin, Texas. Participants should anticipate a rigorous schedule requiring 80–100 hours per week, structured to optimize learning velocity, performance signal, and career advancement.

Program Outcomes:

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

If you deliver quickly, thrive under pressure, and prefer your work—not your credentials—to define your next opportunity, submit your application now.

What you will be doing

  • Deliver production-grade AI applications weekly under firm deadlines
  • Develop systems using contemporary AI-native workflows (agents, tool integration, evaluations, retrieval architectures, deployment pipelines)
  • Work competitively and collaboratively with elite engineering peers in a feedback-intensive setting
  • Demonstrate your work directly to founders, CTOs, and partner recruiters
  • Convert authentic project briefs into scoped, dependable, shippable systems

What you will NOT be doing

  • Investing weeks in theoretical study, tutorials, or passive content consumption without deployment
  • Creating prototypes that are never subjected to real user interaction or rigorous assessment
  • Refining resumes and portfolio sites rather than constructing and shipping functional systems
  • Attending extended lecture series and coursework before engaging with production code

Key responsibilities

Build and ship production-quality AI systems on a weekly cadence, translating demonstrated engineering capability into $200K+ career opportunities via Gauntlet's hiring partner ecosystem.

Candidate requirements

  • 3+ years of professional software 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 critique and capacity for sustained high-intensity execution
  • Legally authorized to work in the United States without requiring visa sponsorship
  • Able to commit to 80–100 hour workweeks 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 Phase (Weeks 1–3) — Foundations in AI-Native Engineering

  • Workflows centered on AI-native development (coding agents, Model Context Protocol, real-time collaboration tools)
  • Retrieval-Augmented Generation (RAG) systems, embeddings, and vector database integration
  • Fast-paced project sprints emphasizing delivery under tight constraints

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

  • Agent architectures, evaluation frameworks, verification techniques, and observability tooling (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-level execution standards: quality assurance, reliability engineering, and rigorous delivery practices
  • Fine-tuning methodologies and deployment strategies (LoRA/QLoRA with production integration)
  • Multi-agent strategies for modernizing legacy codebases
  • Multimodal AI implementations (image/video/voice processing) 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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