AI Engineer
$160K–$200K+ Offers For Graduates $160K–$200K+ Offers For Graduates 

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

AI Engineer   $160K–$200K+ Offers For Graduates $160K–$200K+ Offers For Graduates 

Description

Many engineers claim they want to build things that matter. Here's your opportunity to demonstrate it: continuous delivery, rigorous assessment, and operational AI systems that directly influence how the United States government functions. No résumé posturing. No abstract hypotheticals. Only production work every week, delivered under pressure.

Gauntlet for America is a fully funded, competitive 10-week fellowship created to develop AI-native engineering capacity for the U.S. government. It functions as a high-intensity validation environment for experienced engineers ready to prove they can design and operate production-quality AI systems in contexts where reliability, security, and tangible impact are paramount.

Fellows deliver weekly, work under rigorous assessment, and train with other high-caliber engineers. Successful graduates transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), contributing to systems that directly affect government operations.

The program spans 10 weeks: 3 weeks conducted remotely, then 7 weeks onsite in Austin, Texas. Fellows should anticipate a demanding schedule (80–100 hours/week) structured to accelerate learning velocity, signal clarity, and career trajectory.

Outcomes:

  • 10+ production-ready AI systems delivered throughout the fellowship
  • Direct transition into a federal engineering position (GS-12 equivalent, ~$160K–$200K+ based on experience + full benefits)
  • Contribution to high-impact systems defining how the U.S. government builds and operates technology
  • Access to a network of AI-native engineers working at the leading edge of public sector innovation

If you're prepared to be assessed on what you deliver — not your educational background — apply now.

What you will be doing

  • Deliver production-ready AI applications weekly under firm deadlines
  • Develop solutions using modern AI-first methodologies (agents, tool integration, evaluations, retrieval, deployment)
  • Operate and compete with elite engineering peers in a high-feedback setting
  • Engage with authentic, ambiguous problem domains reflective of government and enterprise contexts
  • Convert real briefs into scoped, dependable, deployable systems

What you will NOT be doing

  • Attending theoretical lectures or passive instruction — every hour is dedicated to building and deploying
  • Waiting months for production deployment — you'll launch real systems each week
  • Depending on credentials, background, or interview success to secure placement — production output is the sole evaluation criterion
  • Operating in a consequence-free environment — your systems will meet actual security and reliability requirements

Key responsibilities

Deliver production-grade AI systems under real-world constraints that validate readiness for federal engineering positions.

Candidate requirements

  • U.S. citizenship required (no exceptions; background check required)
  • Proven engineering capability (new grads and experienced engineers considered)
  • Willing to relocate to Austin, TX for 7 weeks (full-time, in person)
  • Willing to relocate to the Washington, DC area upon program completion (no remote roles)
  • Strong problem-solving capability, rapid learning, and clear reasoning under pressure
  • High receptiveness to feedback and capacity to perform in high-intensity environments

Meet a successful candidate

Watch Interview
Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil

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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.

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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 focused on shipping under constraints

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

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

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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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