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
Not accepting applications on crossover.com at this time.
Description
You're an engineer who refuses to accept poor code quality, sluggish deployments, or legacy development workflows. You build AI-powered systems that render conventional engineering approaches slow and wasteful. If this describes you, continue reading.
The majority of software teams still operate using outdated methods—manual debugging, experimental deployment strategies, and features that barely tap into AI beyond occasional Copilot assistance. Trilogy operates differently. AI is woven throughout our entire development pipeline: from feature conception through bug identification, defect remediation, and performance tuning. This isn't experimentation with AI utilities; this is comprehensive AI integration across the software lifecycle to remove inefficiency, accelerate delivery, and engineer with accuracy.
In this position, you will deconstruct existing B2B products, reconstruct them as cloud-native solutions, and enhance them using AI at every stage. You'll develop and ship AI-enabled features, apply advanced retrieval-augmented generation (RAG) for automated defect identification, and guarantee flawless releases—no downtime, no interruptions, no compromises. If you seek a role where architectural debates consume weeks instead of shipping products, look elsewhere.
If you're prepared to expand the frontiers of AI-driven software engineering and advance your career trajectory, apply immediately. If you favor remaining within your comfort zone, manually authoring test cases, or collaborating with teams resistant to automation, this opportunity isn't suitable.
What you will be doing
- Utilizing analysis frameworks and RAG vector stores to locate, diagnose, and resolve product defects and address bugs.
- Employing AI development agents to architect, build, and ship innovative capabilities for cloud-native applications.
- Guiding AI agents and serving as the validation checkpoint for AI-generated outputs; AI outputs require human coding judgment and are not flawless.
What you will NOT be doing
- Repetitive Routine Work: We minimize burdensome infrastructure overhead so you can concentrate on building innovative solutions.
- Meeting Overload: We prioritize your development expertise over conference room time. Anticipate more coding, fewer discussions.
Key responsibilities
- Deploy AI-powered features to optimize workflows and equip service providers with cutting-edge tools.
Candidate requirements
- Minimum 4 years of professional experience in commercial software development, with emphasis on production code for server-side web applications
- At least 1 year of hands-on experience with serverless architectures and cloud-native development (any cloud vendor)
- Demonstrated experience using GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); we are not seeking traditional ML engineers lacking LLM experience
- Proven ability writing production-grade code in at least two general-purpose programming languages, such as Typescript, Javascript, Python, or C#
- Practical experience developing APIs
- Working 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
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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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