Description
Are you the engineer who cringes at spaghetti code, rolls your eyes at deployment bottlenecks, and refuses to settle for yesterday's development practices? Do you see beyond mere coding to envision AI-powered systems that make conventional engineering seem like dial-up internet in a fiber-optic world? Then we need to talk.
While most development teams are still trudging through manual processes—hand-coding features, debugging through guesswork, and treating AI as just another IDE plugin—Trilogy has reimagined the entire development ecosystem. Here, AI isn't an afterthought; it's woven into every fiber of our process: from conceptualizing features to hunting bugs, resolving defects, and turbocharging performance. We're not playing with AI toys—we're weaponizing artificial intelligence to eliminate inefficiency, accelerate delivery, and engineer with surgical precision.
Join us to deconstruct existing B2B products and resurrect them as sleek, cloud-native applications with AI intelligence pulsing through their core. You'll craft and deploy AI-enhanced features, harness state-of-the-art retrieval-augmented generation (RAG) for automated quality assurance, and deliver flawlessly with zero tolerance for downtime or disruption. If your idea of fulfillment is endless architectural debates rather than shipping exceptional products, look elsewhere.
Ready to redefine what's possible in AI-powered software engineering while fast-tracking your professional trajectory? Apply now. But if you're comfortable with manual test writing, resistant to automation's potential, or prefer teams that cling to comfortable obsolescence—this position isn't your match.
What you will be doing
- Harness sophisticated analysis frameworks and RAG vector databases to swiftly identify, isolate, and eliminate product defects and software bugs
- Orchestrate AI development agents to conceptualize, engineer, and roll out groundbreaking features for cloud-native application ecosystems
- Synergize with a worldwide talent network to create enterprise-caliber solutions that exceed expectations
What you will NOT be doing
- Infrastructure Drudgery: We've streamlined away tedious system maintenance tasks so your cognitive resources remain focused on creative problem-solving and innovation
- Conference Room Captivity: We prioritize your technical contributions over meeting attendance. Expect your keyboard to get more action than your calendar
Key responsibilities
- Create and integrate AI-powered capabilities that optimize operational workflows and equip service providers with cutting-edge tools that transform their effectiveness
Candidate requirements
- Proven track record with 4+ years building commercial software solutions, with particular emphasis on production-grade server-side web applications
- Minimum 1 year hands-on experience architecting serverless solutions and developing cloud-native applications (across any major cloud platform)
- Demonstrated proficiency with generative AI coding assistants (GitHub Copilot, Cursor, v0.dev, etc.) — note: we're seeking LLM expertise, not traditional machine learning engineers
- Production-level coding fluency in at least two versatile programming languages such as TypeScript, JavaScript, Python, or C#
- Substantial API development experience
- Strong command of SQL database technologies
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
About the role
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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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AI-first remote workers.