Software Engineer
$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 ($30 USD/hour)

Not accepting applications on crossover.com at this time.

Description

Are you ready to dive headfirst into the AI revolution? Trilogy is presenting the launchpad for your tech career. This isn't about getting a foot in the door; it's about kicking that door down and charging through. We're on the hunt for the bold, the relentless, the ones who dream in algorithms and thrive in a storm of innovation. 

Your journey with us starts with an unparalleled opportunity - to get paid while you transform into an AI maestro. From day one, you'll plunge into intensive, hands-on AI training entirely funded by us. We're not looking for know-it-alls; we're searching for learn-it-alls. Curiosity, grit, and a relentless pursuit of excellence are what we value most.

The tech world is cluttered with buzzwords, but at Trilogy, we're all about authentic breakthroughs. Our mission is to revolutionize the B2B software landscape with AI-driven innovations that were once considered sci-fi. Picture this: a chatbot capable of tutoring any subject at university level or an AI plugin that amplifies customer support agents into heroes. That's where we're heading, and we want you on board.

We're looking for the game-changers. The problem solvers. The hustlers ready to immerse themselves in AI and emerge as leaders. You don't just adapt to change; you drive it. You're not just looking for a job; you're seeking a mission. If the idea of becoming an AI wizard while shaping the future of tech excites you, you might just be the trailblazer we've been searching for.

What you will be doing

  • Rapidly advancing your AI expertise through specialized training and applying this knowledge to create autonomous, AI-driven platforms and tools
  • Experimenting with state-of-the-art AI tools like GPT-4 Vision, Google Gemini, and Amazon CodeWhisperer, integrating them into our developmental process to enhance their utility
  • Evaluating and optimizing AI solutions across various infrastructures, such as AWS

What you will NOT be doing

  • Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize
  • Being stuck on repetitive tasks - no two problems are the same

Key responsibilities

  • Architecting and deploying sophisticated, fully-automated AI systems that require no human intervention for a truly scalable impact

Candidate requirements

  • A passion for and basic understanding of generative AI, Large Language Models, Prompt Engineering, and the wider AI ecosystem
  • Professional experience using AI to realize quantifiable business value
  • Proficiency in Python

Meet a successful candidate

Watch Interview
Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil  

Does your company encourage your natural creativity? This Brazilian engineering leader rediscovered his purpose after unleashing both his an...

Meet Fabiano
How it works

Applying for a role? Here’s what to expect.

We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.

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.

Celebrate!
STEP 6

Celebrate!

Frequently asked questions

About Crossover

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

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

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.