Senior Java 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 deployment cycles, or obsolete development methodologies. You don't merely write software—you construct AI-powered systems that render conventional engineering approaches slow and wasteful. If this describes you, continue reading.
The majority of software teams continue coding the traditional way—manual debugging sessions, experimental deployment strategies, and features that scarcely utilize AI beyond occasional Copilot prompts. Trilogy operates differently. AI is embedded throughout our entire development pipeline: from feature conception through bug identification, defect remediation, and performance tuning. This isn't about experimenting with AI utilities; this is about comprehensively embedding AI into the software development lifecycle to remove inefficiencies, accelerate delivery, and engineer with accuracy.
In this position, you will deconstruct existing B2B products, reconstruct them as cloud-native solutions, and enhance them with AI throughout every layer. You'll be building and shipping AI-enabled features, applying advanced retrieval-augmented generation (RAG) for automated defect identification, and guaranteeing every deployment runs smoothly—no outages, no interruptions, no compromises. If you're seeking a position where you spend weeks deliberating over 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 favor 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 eliminate bugs.
- Utilizing AI development agents to architect, develop, and ship innovative features for cloud-native applications.
- Guiding AI agents and serving as the quality checkpoint for AI-generated outputs; AI results are not flawless and demand your engineering judgment.
What you will NOT be doing
- Repetitive Monotony: We minimize burdensome infrastructure overhead so you can concentrate on building innovative solutions.
- Meeting Overload: We prioritize your development expertise over conference room attendance. Expect more engineering, less discussion.
Key responsibilities
- Build 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
- Minimum 1 year of experience with serverless architectures and cloud-native development (any cloud vendor)
- Experience utilizing GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); we are not seeking traditional ML engineers without LLM experience
- Experience authoring production-level code in at least two general-purpose coding languages, such as Typescript, Javascript, Python, or C#
- Experience building APIs
- Experience working with 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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