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

Engineers often speak of building meaningful systems. Here's your opportunity to demonstrate it: continuous delivery, rigorous assessment, and operational AI systems that directly influence U.S. government functions. No résumé posturing. No abstract hypotheticals. Only production work each week, under real pressure.

Gauntlet for America is a fully funded, competitive 10-week fellowship built to develop AI-native engineering talent for United States federal agencies. It serves as a high-intensity validation environment for seasoned engineers ready to prove they can construct and maintain production-quality AI systems where dependability, security, and tangible impact are non-negotiable.

Fellows deliver weekly, undergo continuous evaluation, and train with other elite engineers. Those who complete the program successfully transition into federal GS-12 engineering positions (~$150K + comprehensive federal benefits), working on infrastructure that directly affects government operations.

The fellowship spans 10 weeks: 3 weeks conducted remotely, then 7 weeks in-person in Austin, Texas. Participants should anticipate a demanding schedule (80–100 hours/week) engineered to accelerate learning velocity, signal clarity, and professional trajectory.

Program Outcomes:

  • 10+ deployable AI systems delivered throughout the fellowship
  • Immediate placement into federal engineering positions (GS-12 level, ~$160K–$200K+ based on qualifications + full benefits)
  • Contribution to high-impact infrastructure shaping how the U.S. government designs and deploys technology
  • Membership in a network of AI-native engineers working at the leading edge of public sector technology

If you're prepared to be judged by what you ship — not by your academic pedigree — submit your application now.

What you will be doing

  • Deliver production-quality AI applications weekly against firm deadlines
  • Develop using contemporary AI-native workflows (agents, tool integration, evaluations, retrieval, deployment)
  • Compete and collaborate with elite engineering peers in a high-feedback setting
  • Engage with authentic, ambiguous problem domains comparable to government and enterprise contexts
  • Convert actual briefs into well-scoped, dependable, deployable systems

What you will NOT be doing

  • Attending theoretical lectures or passive instruction — all time is dedicated to building and delivery
  • Waiting months to see your work deployed — you'll ship functional systems every week
  • Depending on academic credentials, background, or interview scores to secure your role — only your shipping record counts
  • Operating in a consequence-free environment — your systems must meet authentic security and reliability standards

Key responsibilities

Deliver production-quality AI systems under operational constraints that validate readiness for federal engineering positions.

Candidate requirements

  • U.S. citizenship mandatory (no exceptions; background check required)
  • Proven engineering capability (both recent graduates and experienced engineers eligible)
  • Able to relocate to Austin, TX for 7 weeks (full-time, onsite)
  • Able to relocate to the Washington, DC region after program completion (remote work not available)
  • Robust problem-solving skills, rapid learning ability, and clear judgment 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 of AI-First Engineering

  • AI-native development workflows (coding agents, MCP, real-time collaboration)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Fast-paced project sprints emphasizing delivery under constraints

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

  • Agent architectures, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-level delivery: quality assurance, reliability, and high-standard execution
  • Fine-tuning + deployment strategies (LoRA/QLoRA + production integration)
  • Multi-agent modernization of existing real-world 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.

The education Olympics

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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