Software Developer
$60,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Fully-remote
Any country
full-time (40 hrs/week)
Flexible schedule
Long-term role

Software Developer   $60,000 USD/year

Description

Are you a code craftsman who rebels against mediocrity? A developer who sees traditional software practices as shackles rather than standards? If you're the engineer who winces at inefficient code and craves the cutting edge of AI-driven development, we want you on our team.

While most development teams are still trudging through manual processes with occasional AI assistance, Trilogy has reimagined the entire software lifecycle. We're not just using AI tools—we're weaponizing artificial intelligence across every development stage from conceptualization to optimization. This is next-generation engineering where machine learning doesn't just supplement your work—it transforms how you build.

Join us to deconstruct established B2B products and rebuild them as sleek, cloud-native applications with AI integration at their core. You'll implement advanced retrieval-augmented generation (RAG) systems that automatically detect defects before they become problems. Our standard is perfection: zero downtime, zero user disruption, zero compromise. If you prefer theoretical discussions over shipping code, look elsewhere.

Ready to accelerate your career by pioneering AI-enhanced software engineering at scale? Apply now. But if you're comfortable with manual testing, resistant to automation, or satisfied with the status quo—this position isn't for you.

What you will be doing

  • Harness sophisticated RAG vector stores and analysis frameworks to detect, isolate, and eliminate product defects with unprecedented efficiency
  • Orchestrate AI development agents to conceptualize, build, and deploy breakthrough features in our cloud-native ecosystem
  • Synergize with our international engineering collective to deliver enterprise solutions that exceed industry standards

What you will NOT be doing

  • Infrastructure Drudgery: We've automated the tedious aspects of development infrastructure, freeing you to focus on innovation and problem-solving
  • Meeting Marathons: Your keyboard will see more action than your calendar—we prioritize productive development over excessive discussion

Key responsibilities

  • Create and integrate AI-powered capabilities that revolutionize service provider workflows and deliver groundbreaking tools to our users

Candidate requirements

  • Minimum 4 years of hands-on commercial software development experience, specifically building production-grade server-side web applications
  • Demonstrated proficiency with GenAI coding assistants such as Github Copilot, Cursor, or v0.dev (Note: We're seeking developers embracing LLM technologies, not traditional ML engineers)
  • Enthusiasm for incorporating GenAI tools into your everyday development workflow

Meet a successful candidate

Pranav Nambiar
Pranav  |   AI-First Software Engineer
India  

What's the secret to success at Trilogy? AI-First Software Engineer Pranav Nambiar has it: unrelenting focus. In this eye-opening interview,...

Read Pranav's Story

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.
STEP 1

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.
STEP 2

Pass English Proficiency Test.

Prove Real-World Job & AI Skills.
STEP 3

Prove Real-World Job & AI Skills.

Ace An Interview Or Two.
STEP 4

Ace An Interview Or Two.

Accept Job Offer.
STEP 5

Accept Job Offer.

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Why Crossover

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The Olympics of work

The Olympics of work

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Premium pay for premium talent

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

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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