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Description
This is not your typical engineering role.
If you're looking to pick up tickets, follow specs, and write “clean services”- this isn’t for you.
But if you care about building systems that think, if you use AI to move faster than everyone else, and if you want real ownership over complex, high-scale problems - keep reading.
What we're actually building
At Chargeflow, we’re building systems that don’t just process data, they make decisions.
Real-time, high-stakes, at scale.
Fraud isn’t static. It evolves all the time so our systems need to evolve faster.
That means combining backend architecture, data, and AI into something smarter than traditional SaaS.
What you’ll actually do
Design and build the core systems behind real-time fraud detection
Work on everything from ingestion pipelines to decision engines
Own what you build - from idea to production to iteration
Deal with scale, edge cases, failures, and ambiguity (a lot of it)
Use AI as part of your daily workflow — not as a gimmick, but as leverage
Help figure out better ways to build software in this new era
Requirements
What we care about (beyond buzzwords)
You’ve built real systems, not toy projects or just CRUD.
You understand distributed systems because you’ve dealt with their pain.
You can go deep when needed on performance, architecture, and trade-offs.
You don’t wait for perfect specs, you figure things out.
You care about how things work, not just that they work.
AI is not optional here
You already use tools like Codex, Claude Code, Cursor - daily
You don’t just autocomplete code - you think with AI
You’ve built small tools / automations / experiments with LLMs
You know AI makes mistakes, and you know how to catch them
You’re curious about how engineering is changing, and you want to be ahead of it
What you’ll get here
Real ownership (not “ownership” in slides)
Hard problems with real impact
A team that moves fast and expects you to keep up
Freedom to rethink how things should be built — not just maintain what exists
A chance to become a significantly stronger engineer by working differently
Stack (for context, not as a checklist)
Node.js / TypeScript
Distributed, event-driven architecture
Kafka
AWS
MongoDB + Postgres
Containers (Docker, Kubernetes / ECS)
If you want to build, lead, and rethink how engineering works - we should talk.
Super-competitive compensation for those who fit!
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