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

Many engineers discuss creating systems that count. Here's your opportunity to validate that claim: continuous delivery, rigorous assessment, and operational AI infrastructure directly influencing United States government functions. No credential posturing. No abstract assignments. Only shipped production code every week, under real constraints.

Gauntlet for America is a fully funded, competitive 10-week fellowship built to develop AI-native engineering talent for the United States government. It functions as a high-pressure validation environment for skilled engineers seeking to prove their ability to construct and maintain production-quality AI systems where reliability, security, and tangible impact are non-negotiable.

Fellows deliver weekly, work under rigorous evaluation, and train with other high-caliber engineers. After successful completion, 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 must 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
  • Immediate placement into a federal engineering position (GS-12 equivalent, ~$160K–$200K+ based on experience + full benefits)
  • Contribution to high-impact infrastructure shaping how the U.S. government designs and deploys 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 your output — not your academic pedigree — submit your application now.

What you will be doing

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

What you will NOT be doing

  • Attending theoretical courses or passive instruction — every hour centers on building and shipping
  • Delaying months for your work to reach production — you'll deploy functioning systems each week
  • Depending on credentials, background, or interview scores to secure placement — your shipped output is the sole evaluation criterion
  • Operating in a low-risk practice environment — the systems you create function under genuine security and reliability requirements

Key responsibilities

Deliver production-grade AI systems under operational 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, learning velocity, 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

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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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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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