Lead 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
Not accepting applications on crossover.com at this time.
Description
You're an engineer who refuses to accept subpar code, delayed deployments, or legacy development workflows. Your work goes beyond writing software—you architect AI-powered systems that expose traditional engineering as slow and wasteful. If this resonates, continue reading.
Most engineering teams continue coding the conventional way—debugging manually, deploying through trial and error, and building features that barely scratch the surface of AI beyond occasional Copilot prompts. Trilogy operates differently. AI permeates every phase of our development cycle: conceptualizing features, detecting bugs, resolving defects, and optimizing performance. This isn't experimentation with AI utilities; this is complete AI integration throughout the software lifecycle to remove inefficiency, accelerate shipping, and engineer with accuracy.
In this position, you will deconstruct existing B2B products, reconstruct them as cloud-native solutions, and enhance them with AI at every layer. You'll be building and shipping AI-powered capabilities, applying advanced retrieval-augmented generation (RAG) for automated defect identification, and guaranteeing seamless releases—no outages, no disruptions, no compromises. If you want a role where you spend weeks deliberating over architectural choices instead of delivering, look elsewhere.
If you're prepared to redefine AI-driven software engineering and advance your career rapidly, apply now. If you'd rather stay comfortable with familiar methods, manually writing test cases, or joining teams that fear automation, this opportunity isn't for you.
What you will be doing
- Applying analysis tools and RAG vector stores to detect, diagnose, and resolve product defects and address bugs.
- Utilizing AI development agents to architect, build, and ship innovative features for cloud-native applications.
- Guiding AI agents and serving as the quality checkpoint for AI-generated outputs; AI outputs require validation through your engineering expertise.
What you will NOT be doing
- Routine Monotony: We minimize cumbersome infrastructure overhead so you can concentrate on building innovative solutions.
- Endless Meetings: We prioritize your development expertise over conference room time. Expect more engineering, less discussion.
Key responsibilities
- Deploy AI-driven features to optimize workflows and equip service providers with cutting-edge 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
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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.
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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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