AI Engineer

Coris is building the AI-first trust layer for global commerce, partnering with leading platforms, marketplaces, payment providers, and banks to transform risk management through AI-driven solutions.

The AI Engineer role is split between AI/ML (50%) and Backend (50%) responsibilities:

AI/ML Focus:

• Fine-tune and optimize LLMs and SLMs for fraud detection
• Implement efficient model inference using LoRA/PEFT and quantization
• Build evaluation pipelines balancing recall and precision
• Create robust datasets and testing frameworks
• Develop feature engineering pipelines

Backend Focus:

• Build Python/Django services integrating ML models into APIs
• Design scalable Postgres databases for fraud/risk data
• Create real-time data ingestion pipelines from payment processors
• Implement comprehensive monitoring and observability

Key Requirements:

• 3+ years experience with Python/Django and Postgres
• Expertise in LLM optimization and fine-tuning
• Track record of reducing ML inference costs
• Full-stack capabilities from PyTorch to Django
• Experience with imbalanced datasets and fraud detection
• Knowledge of financial compliance and regulations

Work Environment:

• In-person culture (4+ days in Palo Alto office)
• Fast-paced startup environment (40+ hours/week)
• Focus on measurable impact and rapid iteration
• Direct ownership of production systems
• Competitive compensation including equity

Success Metrics:

• Deploy optimized fraud models with 2-3x efficiency gains
• Build trusted model evaluation pipelines
• Implement real-time fraud scoring APIs
• Integrate with major payment processors

This role offers an opportunity to tackle complex ML challenges in fraud detection while building production-grade infrastructure. The ideal candidate combines ML expertise with strong engineering fundamentals and a bias toward practical implementation.