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

Gauntlet for America is a selective, fully funded 10-week fellowship program built to develop AI-native engineering talent for the United States federal government.

This is a rigorous, high-intensity training environment for experienced engineers seeking to prove their capability to design, build, and deploy production-grade AI systems where security, reliability, and tangible impact are non-negotiable.

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

The fellowship spans 10 weeks: the first 3 weeks are conducted remotely, followed by 7 weeks onsite in Austin, Texas. Participants should prepare for an intensive schedule (80–100 hours/week) structured to accelerate learning velocity, demonstrate capability, and optimize career trajectory.

Program Outcomes:

  • Ship 10+ production-ready AI systems throughout the fellowship duration
  • Guaranteed placement into a federal engineering position (GS-12 equivalent, ~$160K–$200K+ based on experience + full federal benefits)
  • Contribute to high-impact infrastructure that influences how the U.S. government designs and deploys technology
  • Become part of a network of AI-native engineers driving innovation at the frontier of public sector technology

What you will be doing

  • Deliver production-ready AI applications weekly under strict, non-negotiable deadlines
  • Develop systems using modern AI-first methodologies (agents, tool integration, evaluations, retrieval pipelines, deployment)
  • Collaborate and compete with high-caliber engineering talent in a continuous feedback loop
  • Engage with real, ambiguous challenges that mirror government and enterprise operating conditions
  • Transform authentic project briefs into scoped, reliable, production-ready systems

Candidate requirements

  • U.S. citizenship is mandatory (no exceptions; background check will be conducted)
  • Proven engineering capability (both recent graduates and seasoned engineers are eligible)
  • Ability to relocate to Austin, TX for 7 weeks (full-time, in-person participation required)
  • Ability to relocate to the Washington, DC metropolitan area after program completion (remote work is not available)
  • Exceptional problem-solving skills, rapid learning capability, and clarity of thought under pressure
  • High degree of responsiveness to feedback and capacity to thrive in high-intensity settings

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
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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 Instruction (Weeks 1–3) — Foundations of AI-First Engineering

  • AI-first development practices (coding agents, MCP, real-time collaborative tools)
  • Retrieval-Augmented Generation (RAG), embedding techniques, and vector database implementation
  • Fast-paced project sprints emphasizing delivery under constraint

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

  • Agent architectures, evaluation frameworks, verification methods, and observability tooling (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-grade system delivery: quality assurance, reliability engineering, and high-standard execution
  • Fine-tuning techniques and deployment strategies (LoRA/QLoRA + production-level integration)
  • Multi-agent approaches to modernizing legacy codebases
  • Multimodal AI system development (image/video/voice processing) and scalable cloud infrastructure (AWS/Azure)

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Why Crossover

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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.

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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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