Description
Are you tired of legacy codebases, sluggish development cycles, and teams that resist innovation? Do you dream of building software where artificial intelligence isn't just a buzzword, but the backbone of everything you create?
While most development teams are stuck in yesterday's methodologies—manually hunting bugs, crossing fingers during deployments, and treating AI as an afterthought—we're pioneering a completely different approach. At Trilogy, AI isn't just integrated into our workflow; it IS our workflow. From conception to deployment, every line of code, every feature decision, and every optimization is powered by intelligent automation.
This position offers you the opportunity to transform legacy B2B applications into sophisticated, cloud-first solutions that leverage AI at their core. You'll harness advanced retrieval-augmented generation for proactive defect management, deploy intelligent features that adapt and learn, and maintain systems that achieve perfect uptime through predictive maintenance. This isn't about incremental improvements—this is about revolutionary software engineering.
Ready to leave traditional development behind and shape the future of AI-enhanced engineering? Join us. Still comfortable with manual testing, lengthy code reviews, and teams that fear automation? This opportunity isn't your match.
What you will be doing
- Harness sophisticated analysis frameworks and RAG-powered vector databases to proactively detect, analyze, and resolve system defects before they impact users.
- Deploy autonomous AI development agents to architect, build, and launch cutting-edge features for next-generation cloud applications.
- Partner with distributed engineering teams across the globe to deliver robust, scalable enterprise solutions that exceed industry standards.
What you will NOT be doing
- Infrastructure Drudgery: We've automated the tedious operational tasks, freeing you to focus on breakthrough innovation and creative problem-solving.
- Meeting Marathons: Your time is spent crafting exceptional code, not trapped in conference rooms. Expect maximum development time, minimal administrative overhead.
Key responsibilities
- Engineer intelligent, AI-powered capabilities that revolutionize user workflows and provide service providers with transformative technological advantages.
Candidate requirements
- Minimum 4 years of hands-on commercial software development experience, with proven expertise in production-grade server-side web application development
- At least 1 year of practical experience architecting and implementing serverless solutions and cloud-native applications (platform agnostic)
- Demonstrated proficiency with Generative AI coding assistants (including Github Copilot, Cursor, v0.dev); we seek engineers experienced with LLM integration, not traditional ML specialists
- Proven track record developing production-quality applications in a minimum of two programming languages such as Typescript, Javascript, Python, or C#
- Solid background in API design and implementation
- Hands-on experience with SQL database systems and optimization
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
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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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