AI Engineer Position at Coris for Fraud Detection Systems
By
smaddali
9mo ago· 3 min readen
90/100
Golden Brown
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The bagel they save for the regulars. Don't skim, savour.
Score90Typepress releaseSentimentneutral
Summary
Coris, a Y Combinator-backed AI company, is hiring an AI Engineer to build fraud detection systems using language models. The role involves fine-tuning LLMs for fraud detection tasks, optimizing inference for production, and building backend infrastructure with Python/Django. The position requires 3-5+ years experience, focuses on solving challenging ML problems in fraud detection (adaptive adversaries, data imbalance, latency requirements), and offers competitive compensation with equity.
Key quotes
· 5 pulledFraud detection and Risk mitigation is a uniquely hard ML problem: Adaptive adversaries - fraudsters continuously evolve tactics, so models must adapt faster than static rules.
This role is for someone who wants to optimize language models for fraud/risk contexts and build the backend infra that productionizes them at scale.
Fine-tune, distill, and quantize LLMs and small language models (SLMs) for fraud detection tasks: entity resolution, anomaly detection, customer communication classification, synthetic data generation.
Build/Operate/Enhance data ingestion pipelines from Stripe, Adyen, and other payment processors, handling near real-time volume.
Everyone owns their code in prod - from training to inference to APIs.
AI Engineer
Location: SF Bay Area ( 4+ days in office )
Experience Level: 3–5+ years
Stack: Python, PyTorch, ML, LLMs, Django
Type: Full-time
🧠 About Coris
Coris (https://www.coris.ai/) is building the AI-first trust layer for global commerce. We partner
