SHIELD is a device-first fraud intelligence platform that helps digital businesses eliminate fake accounts and stop fraudulent activity. As an AI Engineer, you will build and enhance AI-powered systems for proactive fraud detection, combining data, AI, and engineering to protect ecosystems.
Requirements
- Build and maintain AI-powered systems for proactive fraud detection, including LLM-based and agentic workflows.
- Design and implement RAG pipelines that ground models in SHIELD's fraud intelligence and data signals.
- Develop and iterate on prompts and evaluations to ensure reliable, measurable model performance.
- Rapidly prototype and ship new AI features, moving quickly from idea to production.
- Explore and integrate new data signals and model capabilities to improve fraud identification accuracy.
- Conduct comprehensive testing to ensure system reliability, performance, and cost-efficiency.
- Write clear documentation for systems, prompts, workflows, and research findings.
- Collaborate closely with engineers and analysts to achieve shared project goals.
Benefits
- Competitive salary
- Bonuses
- Stock options
- Comprehensive health insurance
- 401k Matching
- Generous Paid Time Off
- Relocation Assistance