Java 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 poor code quality, sluggish deployments, or antiquated development methodologies. Your work extends beyond writing software—you construct AI-powered systems that render conventional engineering approaches slow and wasteful. If this resonates with you, continue reading.
The majority of software teams continue developing code using legacy methods—manual debugging processes, deployment strategies based on trial and error, and functionality that scarcely utilizes AI beyond occasional Copilot recommendations. Trilogy operates differently. AI permeates every aspect of our development workflow: feature conceptualization, bug identification, defect remediation, and performance enhancement. This isn't about experimenting with AI utilities; this is about comprehensively embedding AI throughout the software development lifecycle to remove inefficiency, accelerate delivery, and engineer with accuracy.
In this position, you will take established B2B products, deconstruct them, reconstruct them as cloud-native solutions, and enhance them with AI at every layer. You'll be engineering and deploying AI-enhanced features, applying advanced retrieval-augmented generation (RAG) for automated defect identification, and guaranteeing every release executes flawlessly—zero downtime, zero interruptions, zero compromises. If you're seeking a position where you invest weeks deliberating architectural choices rather than delivering, this role isn't suitable.
If you're prepared to expand the frontiers of AI-powered software engineering and advance your career trajectory, apply now. If you prefer remaining within your comfort zone, manually authoring test cases, or collaborating in teams that resist automation, this opportunity isn't for you.
What you will be doing
- Employing analysis tools and RAG vector stores to locate, diagnose, and resolve product defects and address bugs.
- Harnessing 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 are not flawless and demand your coding proficiency.
What you will NOT be doing
- Routine Monotony: We minimize burdensome infrastructure responsibilities so you can concentrate on developing innovative solutions.
- Endless Meetings: We prioritize your development expertise over conference room attendance. Anticipate more coding, less discussion.
Key responsibilities
- Deploy AI-powered features to optimize workflows and equip service providers with innovative capabilities.
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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