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

Description

Most engineers claim they want to build systems that matter. This is your opportunity to prove you can: relentless execution, rigorous evaluation, and production AI systems that directly influence how the U.S. government functions. No résumé theater. No abstract exercises. Only real production output each week, delivered under pressure.

Gauntlet for America is a fully funded, competitive 10-week fellowship built to develop AI-native engineering talent for the United States government. It serves as a high-intensity proving ground for seasoned engineers who want to show they can build and run production-grade AI systems in contexts where reliability, security, and tangible impact are non-negotiable.

Fellows deliver weekly, work under rigorous evaluation, and train with other top-performing engineers. Upon successful program completion, graduates transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), contributing to systems that directly affect government operations.

The fellowship spans 10 weeks: 3 weeks conducted remotely, then 7 weeks onsite in Austin, Texas. Fellows should anticipate a demanding schedule (80–100 hours/week) engineered to accelerate learning velocity, produce strong signal, and optimize 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)
  • Contribute to high-impact systems defining how the U.S. government builds and deploys technology
  • Enter a network of AI-native engineers working at the frontier of public sector innovation

If you're prepared to be assessed on what you ship — not where you studied — apply now.

What you will be doing

  • Deliver production-ready AI applications weekly against strict deadlines
  • Build using modern AI-first methodologies (agents, tool use, evals, retrieval, deployment)
  • Collaborate and compete with exceptional engineering talent in a high-feedback setting
  • Engage with real, ambiguous problem domains characteristic of government and enterprise contexts
  • Convert real briefs into scoped, dependable, deployable systems

What you will NOT be doing

  • Attending theoretical coursework or passive lectures — every hour is dedicated to building and shipping
  • Waiting months for your work to reach production — you'll ship real systems each week
  • Depending on credentials, pedigree, or interview performance to secure your placement — your production output is the sole metric that counts
  • Operating in a low-stakes sandbox — the systems you create function under genuine security and reliability requirements

Key responsibilities

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

Candidate requirements

  • U.S. citizenship required (no exceptions; background check required)
  • Demonstrated engineering ability (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 ability, learning speed, and clear reasoning under pressure
  • High responsiveness to feedback and ability to operate in high-intensity environments

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.

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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

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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