Description
Are you the kind of engineer who cringes at the thought of mediocre code, slow rollouts, and outdated practices? You don't just code; you create AI-enhanced systems that redefine efficiency. If this resonates with you, continue on.
While many teams are stuck in the past with manual debugging and basic AI tools, Trilogy is at the forefront, integrating AI into every step of development. From brainstorming features to squashing bugs and enhancing performance, our process is all about precision and speed.
In this role, you'll transform existing B2B products into AI-optimized, cloud-native applications. You'll be at the helm of developing AI-powered features, utilizing cutting-edge technologies like retrieval-augmented generation (RAG) to automate defect detection. Each release is seamless—no outages, no disruptions, no excuses. If you want a role where you debate endlessly instead of executing, look elsewhere.
Ready to lead in AI-driven software engineering and propel your career in cloud-native development? Apply now. If you're content with the status quo, manual test cases, and teams wary of automation, move along.
What you will be doing
- Utilizing analysis tools and RAG vector stores to detect, diagnose, and fix product defects and bugs.
- Employing AI development agents to craft, develop, and deploy groundbreaking features for cloud-native applications.
- Working alongside a global team to deliver top-quality, enterprise-grade solutions.
What you will NOT be doing
- Repetitive Tasks: We minimize infrastructure chores so you can concentrate on crafting innovative solutions.
- Frequent Meetings: We prioritize your coding skills over meeting attendance. Expect more developing, less discussing.
Key responsibilities
- Create AI-driven features to optimize workflows and equip service providers with cutting-edge 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
About the role
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
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.
