LLM Engineer
$200,000+ Offers For Graduates $200,000+ Offers For Graduates 

3 weeks remote, 7 weeks onsite in Austin, TX
80–100 hours/week for 10 weeks
Short-term contract
Hybrid location
full-time (90 hrs/week)

LLM Engineer   $200,000+ Offers For Graduates $200,000+ Offers For Graduates 

Description

Gauntlet is a selective, fully funded 10-week fellowship designed for experienced engineers seeking to advance their careers by demonstrating their ability to build and deploy production-quality AI systems in demanding, real-world conditions. Fellows deliver work on a weekly cadence, collaborate with seasoned operators, and gain direct access to founders, CTOs, and hiring partners.

During our latest cohort, participants earned over 300 first-round interviews with hiring partners. Our objective is that 100% of graduates receive offers from our partner network, with starting compensation no less than $200,000.

The fellowship spans 10 weeks: the first 3 weeks are conducted remotely, followed by 7 weeks onsite in Austin, Texas. Participants should anticipate a high-intensity commitment (80–100 hours per week) structured to optimize learning velocity, demonstrable performance, and career results.

Outcomes:

  • 10+ production AI applications delivered throughout the fellowship
  • Membership in Gauntlet's alumni and hiring partner network
  • Job offers of $200,000+ from hiring partners for graduates

What you will be doing

  • Deliver production-ready AI applications weekly under strict time constraints
  • Work with modern AI-first development patterns (agents, tool usage, evaluation frameworks, retrieval, deployment pipelines)
  • Collaborate and compete with exceptional engineering peers in a feedback-intensive setting
  • Present deliverables directly to CTOs, founders, and hiring decision-makers
  • Convert real project briefs into scoped, dependable, deployable systems

What you will NOT be doing

  • Investing weeks in theoretical study, tutorials, or passive content consumption without delivering functional work
  • Creating proof-of-concept demos that are never subjected to real-world usage or rigorous evaluation
  • Depending on academic or professional credentials rather than measurable, tangible output
  • Operating in low-pressure environments with forgiving or flexible schedules

Candidate requirements

  • 3+ years of professional engineering experience (or demonstrably equivalent capability)
  • Strong aptitude for problem-solving, rapid learning, and sound reasoning under pressure
  • Highly responsive to feedback and capable of sustaining extreme execution intensity
  • Legally authorized to work in the United States without requiring visa sponsorship
  • Able to commit to 80–100 hour workweeks and relocate to Austin for 7 weeks

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 workflows (coding agents, MCP, real-time collaborative tooling)
  • Retrieval-Augmented Generation (RAG), embedding techniques, and vector database usage
  • Fast-paced project sprints emphasizing delivery within tight constraints

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

  • Agent architectures, evaluation systems, verification methods, and observability tools (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-level execution: quality assurance, reliability engineering, and high-standard delivery
  • Fine-tuning and deployment strategies (LoRA/QLoRA with production integration)
  • Multi-agent strategies for modernizing existing real-world codebases
  • Multimodal AI development (image/video/voice) and scalable cloud infrastructure (AWS/Azure)

Meet some people who've landed similar jobs

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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