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

Most engineers claim they want to build systems that matter. This is where you demonstrate it: uncompromising delivery cadence, rigorous assessment, and production AI infrastructure that directly influences U.S. government operations. No credential posturing. No abstract hypotheticals. Only shipped work every week, executed under real constraints.

Gauntlet for America is a fully funded, highly selective 10-week fellowship created to develop AI-native engineering talent for United States government service. It operates as a high-pressure proving environment for capable engineers ready to show they can construct and maintain production-grade AI systems where security, reliability, and measurable impact are non-negotiable.

Fellows deliver weekly, operate under continuous evaluation, and work alongside other elite-performing engineers. Successful graduates transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), contributing to systems that directly shape government operations.

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

Outcomes:

  • 10+ production-ready AI systems delivered during 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 designs 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 measured by what you ship — not where you studied — apply now.

What you will be doing

  • Deliver production-ready AI applications weekly against firm deadlines
  • Develop systems using modern AI-first methodologies (agents, tool integration, evaluation frameworks, retrieval, deployment pipelines)
  • Operate and compete alongside top-tier engineering talent in a high-feedback setting
  • Engage with authentic, ambiguous problem domains similar to those in government and enterprise contexts
  • Convert real-world briefs into scoped, dependable, deployable systems

What you will NOT be doing

  • Attending theoretical coursework or passive instruction — all time is dedicated to building and shipping
  • Waiting months to see your work reach production — you'll deploy functioning systems every week
  • Depending on credentials, academic background, or interview scores to secure your placement — only your production output determines advancement
  • Operating in a low-risk environment — the systems you construct must meet genuine security and reliability standards

Key responsibilities

Deliver production-grade AI systems under authentic operational constraints that demonstrate preparedness for federal engineering responsibilities.

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 ability, and clear reasoning under pressure
  • High responsiveness to feedback and ability to perform 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)

Meet some people who've landed similar jobs

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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