Description
You’re an engineer who doesn’t tolerate bad code, slow deployments, or outdated development practices.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.
If you’re ready to push the boundaries of AI-driven software engineering and accelerate your career, apply now. If you prefer sticking to what you already know, writing test cases by hand, or working in teams that are afraid of automation, this isn’t for you.
What you will be doing
- Using analysis tools and RAG vector stores to identify, diagnose, and correct product defects and fix bugs.
- Leveraging AI development agents to design, develop, and deploy innovative features for cloud-native applications.
- Coaching AI agents and acting as the quality gate for AI outputs; AI outputs are not infallible and require your coding expertise.
What you will NOT be doing
- Routine Monotony: We keep cumbersome infrastructure tasks to a minimum so you can focus on creating innovative solutions.
- Endless Meetings: We value your expertise in development over sitting in meeting rooms. Expect more coding, less talking.
Key responsibilities
- Implement AI-driven features to streamline workflows and empower service providers with innovative tools.
Candidate requirements
- At least 4 years of professional experience in commercial software development, focusing on production code for server-side web applications
- At least 1 year of experience with serverless architectures and cloud-native development (any cloud vendor)
- Experience using GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); we are not looking for traditional ML engineers without LLM experience
- Experience writing production-level code in at least two general-purpose coding languages, such as Typescript, Javascript, Python, or C#
- Experience developing APIs
- Experience using SQL databases
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.
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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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