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

Gauntlet for America is a selective, fully funded 10-week fellowship that develops AI-native engineering talent for the United States government.

This high-intensity program serves as a proving ground for skilled engineers seeking to demonstrate their ability to design and deploy production-grade AI systems in settings where security, reliability, and tangible impact are critical.

Fellows deliver weekly, work under rigorous evaluation standards, and train alongside other top-tier engineers. Those who complete the program successfully transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), contributing to systems that directly influence government operations.

The fellowship 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, demonstrate capability, and unlock career advancement.

What Fellows Achieve:

  • Deliver 10+ production-ready AI systems throughout the fellowship
  • Secure direct placement into a federal engineering position (GS-12 equivalent, ~$160K–$200K+ based on experience + full benefits)
  • Contribute to high-impact systems that shape how the U.S. government develops and operates 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 against strict deadlines
  • Develop systems using modern AI-first methodologies (agents, tool use, evals, retrieval, deployment)
  • Operate in a high-feedback environment, collaborating and competing with elite engineering talent
  • Navigate real, ambiguous problem domains that mirror government and enterprise challenges
  • Convert real-world briefs into scoped, dependable, deployable systems

Candidate requirements

  • U.S. citizenship mandatory (no exceptions; background check required)
  • Proven engineering capability (both new graduates and experienced engineers are considered)
  • Ability to relocate to Austin, TX for 7 weeks (full-time, in-person participation)
  • Ability to relocate to the Washington, DC area after program completion (remote roles not available)
  • Exceptional problem-solving skills, rapid learning ability, and clarity of reasoning under pressure
  • High receptiveness to feedback and capacity to perform 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
proctored test.
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 (Weeks 1–3) — Foundations in AI-First Engineering

  • AI-first development methodologies (coding agents, MCP, real-time collaboration)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Fast-paced project sprints with a focus on shipping under constraints

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

  • Agent architectures, evals, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-level delivery: QA, reliability, and execution to high standards
  • Fine-tuning + deployment strategies (LoRA/QLoRA + production integration)
  • Multi-agent modernization applied to real-world codebases
  • Multimodal AI development (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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