Description
Master Java Developer Wanted: Build AI-Powered Enterprise Software That Matters
You're an engineer who doesn't tolerate bad code, slow deployments, or outdated development practices. You don't just write software—you build AI-driven systems that make traditional engineering look sluggish and inefficient. If that sounds like you, keep reading.
Most software teams are still writing code the old way—manual debugging, trial-and-error deployments, and features that barely leverage AI beyond a sprinkle of Copilot suggestions. Trilogy is different. Every part of our development process is infused with AI: feature ideation, bug detection, defect resolution, and performance optimization. This isn't about dabbling in AI tools; this is about fully integrating AI into the software lifecycle to eliminate waste, ship faster, and build with precision.
In this role, you will take existing B2B products, break them down, rebuild them as cloud-native applications, and optimize them with AI at every level. You'll be developing and deploying AI-powered features, using cutting-edge retrieval-augmented generation (RAG) for automated defect detection, and ensuring every release is smooth—zero outages, zero disruptions, zero excuses. If you're looking for a job where you spend weeks debating architecture decisions instead of shipping, this isn't it.
What you will be doing
- Architect and implement AI-driven detection systems that identify and diagnose product defects with precision and speed
- Design and deploy cloud-native applications that leverage cutting-edge AI development agents to accelerate feature delivery
- Transform legacy B2B products into modern, scalable solutions that exceed enterprise expectations
What you will NOT be doing
- Managing infrastructure manually—our AI-powered DevOps pipeline eliminates repetitive deployment tasks
- Participating in excessive meetings—we prioritize focused development time over unnecessary discussions
- Writing code first, then using AI as an afterthought—our process integrates AI from conception to deployment
- Maintaining legacy systems without modernization—every project advances our technology stack
Key responsibilities
Transform enterprise software through AI integration, delivering measurable business value through innovative features that increase efficiency and drive customer satisfaction.
Candidate requirements
- AI-First Development Philosophy: You approach problems by leveraging AI capabilities before writing manual code
- 4+ years of professional Java development experience building production-grade server-side applications
- Proven track record developing mission-critical B2B software applications with enterprise-level reliability
- Demonstrated expertise with AWS cloud-native development and serverless architectures
- Advanced proficiency using GenAI code assistants (Github Copilot, Cursor.sh, v0.dev) in daily workflows
- Measurable success implementing Generative AI solutions with quantifiable business impact
How it works
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.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
Frequently asked questions
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Why Crossover
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.
