Description
Are you an engineer with a zero-tolerance policy for subpar code, sluggish deployments, and antiquated development practices? Do you aspire to construct AI-powered systems that render traditional engineering methods obsolete? If so, read on.
Unlike most software teams that adhere to outdated coding practices—manual debugging, hit-or-miss deployments, and minimal AI integration—Trilogy stands apart. We seamlessly weave AI into every facet of our development process: from feature brainstorming to bug identification, defect resolution, and performance enhancement. This is not about dabbling in AI tools; it's about embedding AI into the software lifecycle to cut down on inefficiencies, speed up delivery, and build with precision.
In this role, you'll transform existing B2B products into cloud-native applications, enhancing them with AI at every stage. You'll develop and deploy AI-driven features, utilize cutting-edge retrieval-augmented generation (RAG) for automated defect detection, and ensure each release is seamless—zero outages, zero disruptions, zero excuses. If you prefer endless debates over architecture choices instead of shipping, this isn't the place for you.
If you're eager to redefine AI-driven software engineering and propel your career into the realm of high-scale cloud-native development, apply now. If you prefer sticking to the familiar, manually writing test cases, or working in teams hesitant about automation, this role isn't for you.
What you will be doing
- Utilizing analysis tools and RAG vector stores to pinpoint, diagnose, and rectify product defects and bugs.
- Harnessing AI development agents to design, create, and deploy cutting-edge features for cloud-native applications.
- Collaborating with a global team to deliver top-tier, enterprise-grade solutions.
What you will NOT be doing
- Routine Monotony: We minimize tedious infrastructure tasks, allowing you to concentrate on crafting innovative solutions.
- Endless Meetings: We prioritize development expertise over time spent in meeting rooms. Expect more coding, less talking.
Key responsibilities
- Implement AI-driven features to streamline workflows and equip service providers with innovative tools.
Candidate requirements
- 4+ years of professional experience in commercial software development, focusing on production code for server-side web applications.
- Experience using GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); we are not looking for traditional ML engineers without LLM experience.
- A willingness to use GenAI in your day-to-day development work.
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.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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.
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