Fraud AI Engineer: Proactive Detection & LLM Pipelines

Shield 1; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

SHIELD is a device-first fraud intelligence platform helping digital businesses worldwide eliminate fake accounts and stop fraud. We seek an AI Engineer to build and enhance AI-powered systems that identify fraudulent behavior across client platforms, combining data, AI, and engineering to protect ecosystems.

You will work on LLM-based and agentic workflows, design RAG pipelines, prompts, evaluations, and rapid feature iteration, collaborating with engineers and analysts to deliver high-impact

Qualifications

• Bachelor's Degree in Computer Science or a related field is required or equivalent practical experience.
• Strong proficiency in Python; Go/Golang is a plus.
• Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini) including prompting, RAG, or agentic workflows.
• Experience building and shipping production software with a bias for speed.

Responsibilities

• Build and maintain AI-powered systems for proactive fraud detection; including LLM-based and agentic workflows.
• Design and implement RAG pipelines grounded in SHIELD's fraud intelligence and data signals.
• Develop and iterate prompts and evaluations for reliable model performance.
• Rapidly prototype and ship new AI features 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 docs for systems, prompts, workflows and research findings.
• Collaborate with engineers and analysts to achieve shared goals.

Skills

Python

Go / Golang

LLM APIs

Prompting

RAG pipelines

Production software

MySQL / PostgreSQL

Git

Education

Bachelor's Degree in Computer Science or related

Tools

Redis / Memcached

Vector databases

Job description

SHIELD is a device-first fraud intelligence platform helping digital businesses worldwide eliminate fake accounts and stop fraud. We seek an AI Engineer to build and enhance AI-powered systems that identify fraudulent behavior across client platforms, combining data, AI, and engineering to protect ecosystems.

You will work on LLM-based and agentic workflows, design RAG pipelines, prompts, evaluations, and rapid feature iteration, collaborating with engineers and analysts to deliver high-impact