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Coris is building the AI-first trust and operations layer for global commerce. We partner with leading platforms, marketplaces, payment providers, and banks to transform how business onboarding, monitoring, and lifecycle decisions are made - using AI on the ground to drive faster, smarter actions with less friction.
Job Responsibility
Build and own Python/Django services that sit at the heart of Risk Decisioning and Execution
Model complex fraud/risk data in Postgres
write queries and aggregations that scale to billions of records
Build, operate, and enhance data ingestion pipelines from Stripe, Adyen, and other payment processors - as well as systems of record like Salesforce and Zendesk - handling near real-time volume
Integrate with poorly documented, inconsistent, and sometimes ancient APIs from legacy payment processors and platforms
Build feature engineering pipelines that extract signals
Implement customer-facing features like AI chat interfaces and graph visualizations
Analyze, diagnose, and fix UI latency and performance bottlenecks
Requirements
1+ years building production systems in Python/Django with Postgres
Experience building frontend applications with React.js and Next.js
An AI-native way of working
A genuine willingness to do the unglamorous integration work
Very high energy and high agency
An experimental but practical mindset
A keen sense of information architecture and data presentation
Nice to have
Internship or early-career experience at a fast-scaling fintech or infra company (e.g., Stripe, Plaid, Brex, Adyen)
Familiarity with payment infrastructure, merchant underwriting, or risk tooling
Hands-on experience fine-tuning or optimizing LLMs/SLMs, ideally in fraud, anomaly detection, or adversarial domains
Experience working closely with product or design in an early-stage team