Full Stack Engineer $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Not accepting applications on crossover.com at this time.
Description
Are you ready to elevate AI from sidekick to star player? Join us as a Full Stack Engineer where AI is at the core of our operations. If you've mastered shipping production-ready features with tools like Copilot, GPT-4, or your own LLM arsenal, this is your stage.
While others see AI as mere autocomplete, we integrate it as a co-developer from the start. Here at Trilogy, you'll transform manual HR processes into automated, data-driven systems that provide real-time insights for impactful talent management decisions. You're not just building dashboards; you're leveraging data to drive business strategy.
This role is far from the traditional feature factory. You'll take a broad concept, unleash AI agents on it, refine swiftly, and confidently deliver your solutions. Expect your time to be split between 60% AI-centric product development and 40% pinpoint defect analysis and resolution using advanced tools and structured debugging. Deliver bug-free, regression-resistant code with comprehensive test coverage and you're on the right track.
Join our agile team where every engineer is accountable for results, not just deliverables. We set a high bar with scalable designs, elegant code, and rapid iteration. If you can think, build, and debug with AI, we want you on our team for the most exciting work of your career.
What you will be doing
- Creating cutting-edge product features with the help of AI development agents.
- Identifying and fixing defects using automated tools and structured debugging processes.
Key responsibilities
- Quickly develop and refine an AI-powered software reporting solution.
Candidate requirements
- A minimum of 4 years' experience in full-stack engineering.
- Proficiency in frameworks like Langchain or langflow.
- Experience with generative AI tools (e.g., Copilot, ChatGPT, Cursor) for creating LLM-based systems.
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.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Accept Job Offer.
Pass 
proctored test.
Frequently asked questions
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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
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
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.
Join the world's largest community of 
AI-first remote workers.