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

Description

Many engineers claim they want to build systems that matter. This is your opportunity to demonstrate it: continuous delivery, rigorous assessment, and operational AI that directly influences how the United States government functions. No résumé posturing. No academic abstractions. Only production work every week, delivered under pressure.

Gauntlet for America is a fully funded, competitive 10-week fellowship built to develop AI-native engineering capacity for the U.S. government. It serves as a high-stakes proving environment for experienced engineers seeking to show they can construct and maintain production-grade AI systems where reliability, security, and tangible impact are paramount.

Fellows deliver weekly, undergo rigorous evaluation, and train with other top-tier engineers. After successful completion, participants transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), working on 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, performance signal, 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 develops and operates technology
  • Entry into a network of AI-native engineers working at the forefront of public sector innovation

If you are prepared to be assessed on what you deliver — not your academic background — apply now.

What you will be doing

  • Deliver production-ready AI applications weekly under firm deadlines
  • Develop using modern AI-first methodologies (agents, tool use, evals, retrieval, deployment)
  • Collaborate and compete with elite engineering talent in a high-feedback setting
  • Engage with authentic, ambiguous problem domains similar to 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 delivering
  • Waiting months for your work to enter production — you will deploy operational systems weekly
  • 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 environment — the systems you construct function under genuine security and reliability requirements

Key responsibilities

Deliver production-grade AI systems under real-world constraints that demonstrate 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...

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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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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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The Olympics of work

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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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