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 who want to advance their careers by demonstrating they can build and deliver production-quality AI systems under real-world constraints. Fellows deploy systems weekly, collaborate with seasoned operators, and gain direct access to CTOs, founders, and hiring partners.

Participants from our latest cohort earned over 300 first-round interviews with hiring partners. We aim for every graduate to secure offers from our partner network, with minimum starting compensation set at $200,000.

The fellowship spans 10 weeks: 3 weeks conducted remotely, then 7 weeks onsite in Austin, Texas. Fellows should anticipate a demanding schedule (80–100 hours per week) engineered to optimize learning velocity, career signal, and placement outcomes.

Program Outcomes:

  • 10+ production AI applications deployed throughout the fellowship
  • Direct access to Gauntlet's alumni and hiring partner network
  • Graduates secure job offers of $200,000 or higher from hiring partners

If you ship quickly, thrive under pressure, and want your work — not your credentials — to define your next opportunity, apply now.

What you will be doing

  • Deliver production-ready AI systems weekly against firm deadlines
  • Work with cutting-edge AI-first workflows (agents, tool integration, evaluations, retrieval, deployment)
  • Compete and collaborate with elite engineering peers in a high-feedback setting
  • Present completed work directly to founders, CTOs, and hiring partners
  • Convert real project briefs into scoped, dependable, deployable systems

What you will NOT be doing

  • Spending weeks absorbing theory, completing tutorials, or learning passively without shipping
  • Creating demos that are never subjected to real evaluation or usage
  • Refining resumes and portfolios rather than constructing and deploying functional systems
  • Attending weeks of lectures and coursework before engaging with actual code

Key responsibilities

Build and deliver production-grade AI systems on a weekly cadence, converting demonstrated engineering performance into career outcomes exceeding $200K through Gauntlet's hiring partner network.

Candidate requirements

  • 3+ years of professional engineering experience (or demonstrable equivalent ability)
  • Have independently designed, implemented, and deployed at least one working software system to production or active users
  • High responsiveness to feedback and extreme execution intensity
  • Authorized to work in the U.S. without visa sponsorship
  • Willing to commit to 80–100 hour weeks 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 in AI-First Engineering

  • AI-first development workflows (coding agents, MCP, real-time collaboration)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Rapid project sprints centered on shipping within constraints

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

  • Agent systems, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-grade delivery: quality assurance, reliability, and high-standards execution
  • Fine-tuning and deployment patterns (LoRA/QLoRA with production integration)
  • Multi-agent modernization of real-world codebases
  • Multimodal AI projects (image/video/voice) and scalable 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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