- Advanced AI agent orchestration for complex business problems
- Cutting-edge techniques for integrating LLMs into production systems
- How to design feedback loops that continuously improve AI performance
- Building systems that make high-stakes business decisions with appropriate safeguards
Serverless Engineer $100,000 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
Tired of pretending AI is just a sidekick? We're looking for an engineer who's ready to make AI the engine, not the accessory. If you've already figured out how to ship production-grade features faster with Copilot, GPT-4, or your own LLM toolshed, this is your arena.
Most software teams still treat AI like a glorified autocomplete or let it rot in experimental branches. At Trilogy, AI is a co-developer from day one. For example, you'll replace manual HR processes with data, feedback loops, and AI automations that deliver real-time performance signals and enable high-stakes talent decisions across entire cohorts. You're not building dashboards; you're weaponizing data for business decisions.
This is not a traditional feature factory job. In this role, you'll take a loosely scoped idea, turn AI agents loose on it, refine your solution fast, and ship confidently and repeatedly. The job is 60% product feature development using AI-native workflows, 40% surgical defect analysis and resolution using automated tools and structured debugging systems. If your commits are bug-free, regression-proof, and backed by thoughtful test coverage, you're doing it right.
You'll be joining a lean team where every engineer owns outcomes, not just outputs. The bar is high: scalable designs, elegant code, and a fast, fearless pace of iteration. If you know how to think with AI, build with AI, and debug with AI, then apply now. You'll be doing the most interesting work of your career.
What you will be doing
- Delivering new product features, designed and implemented using AI development agents.
- Diagnosing and resolving defects using automated tooling and structured debugging workflows.
What you will NOT be doing
- Spending hours writing boilerplate code that AI can generate for you
- Waiting for product requirements to be perfectly defined before starting development
- Manually testing every edge case when automated systems can do it better
- Building traditional interfaces that don't leverage AI capabilities
Key responsibilities
- Rapidly iterate and develop an AI-driven software reporting solution
Candidate requirements
- At least 4 years of full-stack engineering experience
- Experience working with frameworks such as Langchain or langflow
- Experience using generative AI tools (e.g. Copilot, ChatGPT, Cursor) to create LLM-based systems
Nice to have
- Experience with serverless architectures and cloud platforms (AWS Lambda, Azure Functions, etc.)
- Knowledge of prompt engineering and LLM fine-tuning techniques
- Background in data processing pipelines and analytics
- Experience with automated testing frameworks for AI systems
How it works
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.
STEP 1
Chat-style
screening interview.
STEP 2
Cognitive 
aptitude test.
STEP 3
Prove real-world 
job skills.
STEP 4
Interview with the hiring manager.
STEP 5
Accept Job Offer.
ONE LAST THING
Pass 
proctored test.
Frequently asked questions
What you will learn
Work examples
- Developing an AI system that analyzes employee performance data and provides actionable insights
- Creating automated workflows that transform unstructured HR data into structured decision frameworks
- Building serverless architectures that scale with demand while maintaining cost efficiency
- Implementing robust testing and validation systems for AI-powered features
Reviews
Meet some people who've landed similar jobs
Why Crossover
Recruitment sucks. So we’re fixing it.
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.
Join the world's largest community of 
AI-first remote workers.