Description
MASTER OF AI INNOVATION WANTED: Transform Your LLM Expertise Into Industry-Changing Solutions
At Trilogy, we're not just riding the AI wave—we're directing its current. We seek elite software engineers who view Large Language Models not as tools, but as extensions of their technical vision. If you've transcended traditional coding and now orchestrate AI to create solutions that others haven't yet imagined, we need to talk.
While others debate AI's potential, our team harnesses it daily to revolutionize productivity across industries. Here, your sophisticated understanding of LLMs will directly impact how businesses operate, decisions are made, and efficiency is achieved. No bureaucracy. No theoretical exercises. Just pure, applied innovation with measurable results.
What you will be doing
- Architect next-generation AI automations that transform complex business processes into streamlined, intelligent workflows
- Pioneer experimental applications using cutting-edge AI tools including GPT-4 Vision and Amazon CodeWhisperer, rigorously evaluating their practical business applications
- Optimize AI implementation strategies across AWS infrastructure, ensuring maximum performance, scalability, and seamless integration
What you will NOT be doing
- Writing traditional code bases—our approach leverages AI for the heavy lifting, positioning you as the strategic architect rather than the manual builder
- Solving predictable, repetitive problems—each challenge requires fresh thinking and innovative approaches
- Navigating bureaucratic approval processes—we prioritize rapid iteration and practical implementation over procedural delays
- Creating theoretical models without real-world application—every solution you develop will be deployed to deliver measurable business impact
Key responsibilities
Design and deploy autonomous AI systems that operate without human intervention, creating exponentially scalable business solutions that transform organizational productivity
Candidate requirements
- Demonstrated AI-First Mindset—you instinctively approach problems by leveraging AI capabilities before considering traditional coding solutions
- Minimum 5 years of professional software engineering experience, with verifiable results
- Advanced Python proficiency and comprehensive AWS platform knowledge
- Proven expertise with GenAI code assistants including Github Copilot, Cursor.sh, and v0.dev
- Documented success implementing Generative AI solutions with quantifiable business impact
- Extensive experience integrating multiple LLM platforms (GPT, Claude, Mistral) through their APIs to address complex business challenges
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.
