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

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

This is a rigorous, high-intensity program for experienced engineers ready to prove their ability to design, build, and deploy production-grade AI systems in contexts where security, reliability, and measurable impact are non-negotiable.

Fellows deliver work weekly under continuous evaluation and train in cohorts of high-caliber engineers. Graduates who complete the program successfully transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), contributing to systems that shape government operations.

The program structure is 10 weeks: an initial 3 weeks conducted remotely, then 7 weeks onsite in Austin, Texas. Participants should anticipate an intensive workload (80–100 hours/week) engineered to accelerate skill acquisition, performance visibility, and long-term career impact.

Program Outcomes:

  • 10+ production-grade AI systems delivered throughout the fellowship
  • Guaranteed placement into a federal engineering position (GS-12 equivalent, ~$160K–$200K+ based on experience + full benefits)
  • Hands-on work on high-stakes systems influencing U.S. government technology strategy and execution
  • Access to a professional network of AI-native engineers leading innovation in the public sector

What you will be doing

  • Deliver production-ready AI applications weekly under firm deadlines
  • Develop systems using modern AI-first methodologies (agents, tool use, evaluation frameworks, retrieval, deployment pipelines)
  • Collaborate and compete with elite engineering peers in a high-feedback, performance-driven setting
  • Engage with authentic, ambiguous problem domains reflective of government and enterprise contexts
  • Convert real-world requirements into well-scoped, dependable, deployable solutions

Candidate requirements

  • U.S. citizenship is mandatory (no exceptions; background check required)
  • Proven engineering capability (both new graduates and experienced engineers are eligible)
  • Able and willing to relocate to Austin, TX for 7 weeks (full-time, onsite participation)
  • Able and willing to relocate to the Washington, DC area after program completion (remote work not available)
  • Exceptional problem-solving skills, rapid learning ability, and clear reasoning under time pressure
  • Strong receptiveness to feedback and capacity to thrive in high-intensity work 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.

Frequently asked questions

About Crossover

What you will learn

Phase 1: Remote (Weeks 1–3) — Foundations of AI-First Engineering

  • AI-first development methodologies (coding agents, MCP, real-time collaboration tools)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector database implementation
  • Rapid sprint cycles emphasizing delivery under constraints

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

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

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Why Crossover

School sucks. So we’re fixing it.

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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.

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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