Description
Are you an engineer who refuses to settle for mediocrity in code, deployment speed, or outdated methodologies? You don't just develop software; you create AI-powered systems that redefine efficiency. If this resonates with you, read on.
While many teams are still stuck in traditional coding paradigms, Trilogy is revolutionizing the process with full AI integration. From ideation to bug fixing and performance enhancements, AI is at the core of our development. This is not about experimenting with AI tools; it's about embedding AI deeply into the software lifecycle to minimize waste and maximize precision.
You'll be transforming existing B2B products into cloud-native applications, optimizing them with AI at every stage. Your mission will include developing AI-powered features, utilizing cutting-edge retrieval-augmented generation (RAG) for automated defect detection, and ensuring seamless releases with zero disruptions. If you're seeking a role where you can debate architecture endlessly, this isn't it.
Join us to explore the frontiers of AI-driven software engineering and propel your career in high-scale cloud-native development. If you prefer the status quo or manual test case writing, this role may not be your fit.
What you will be doing
- Utilize analysis tools and RAG vector stores to detect, diagnose, and resolve product defects and bugs.
- Employ AI development agents to craft, develop, and implement innovative features for cloud-native applications.
- Collaborate with a globally dispersed team to deliver enterprise-grade, high-quality solutions.
What you will NOT be doing
- Routine Monotony: Our focus is on innovation, not on mundane infrastructure tasks.
- Endless Meetings: We prioritize coding over meetings, ensuring you have more time for development.
Key responsibilities
- Develop AI-driven features to enhance workflows and provide service providers with cutting-edge tools.
Candidate requirements
- Over 4 years of professional experience in commercial software development, emphasizing production code for server-side web applications.
- Experience with GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); candidates without LLM experience in traditional ML roles are not suitable.
- Openness to incorporating GenAI into your daily development activities.
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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