Description
Are you a coding virtuoso who can't stand inefficient practices and outdated methodologies? Do you go beyond just writing code to craft AI-empowered solutions that redefine the engineering landscape? If this resonates with you, let's delve deeper.
Many teams are still stuck in the past with manual debugging and trial-and-error deployments. At Trilogy, we are at the forefront of innovation, with AI as the backbone of our development process. From conceptualizing features to optimizing performance, AI is ingrained in every phase, ensuring swifter, more precise results.
Your mission: transform existing B2B products into cloud-native powerhouses, infused with AI at every turn. You'll be at the helm of developing AI-enhanced features, employing state-of-the-art retrieval-augmented generation (RAG) for seamless defect detection and guaranteeing flawless releases. If you're seeking a role where action triumphs over endless debates, this is your calling.
Ready to revolutionize AI-driven software engineering and propel your career forward? Apply now. If you prefer the comfort of the familiar, manual test writing, or shy away from automation, this isn't your path.
What you will be doing
- Utilize advanced analysis tools and RAG vector stores for effective identification, diagnosis, and resolution of product defects and bugs.
- Employ AI development agents to innovate, design, and deploy pioneering features tailored for cloud-native applications.
- Collaborate with a diverse international team to deliver top-tier, enterprise-level solutions.
What you will NOT be doing
- Enduring Routine: We minimize tedious infrastructure tasks, allowing you to focus on groundbreaking solutions.
- Attending Endless Meetings: Your coding expertise is prioritized over excessive discussions. Expect more hands-on development, less talking.
Key responsibilities
- Develop AI-centered features that enhance workflows and equip service providers with cutting-edge tools.
Candidate requirements
- Minimum of 4 years in professional software development, with a focus on production code for server-side web applications.
- At least 1 year of experience in serverless architectures and cloud-native development across any cloud platform.
- Proficiency with GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev), not seeking traditional ML engineers without LLM experience.
- Production-level coding experience in at least two general-purpose languages, such as Typescript, Javascript, Python, or C#.
- API development experience.
- Proficient in 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.
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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