AI Engineer
Core
Design, build, and operate distributed, production-grade services and data pipelines for a high-scale fraud intelligence platform, integrating LLMs and traditional ML models to detect fraud and money laundering in real-time.
Role type
Senior IC AI Engineer (Fraud Intelligence & Data Infrastructure)
Builds
High-throughput data pipelines, agentic flows, AI applications, and production ML scoring systems for global fraud detection.
Domain
Financial Services / Fraud Detection / Risk Management / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed system design, Python, Spark, Kafka, Flink, LLM integration, ML concepts (supervised/unsupervised), Cloud-native architecture, Security/Privacy implementation
Preferred skills
LLM agent workflow development (LangChain/LangGraph), ClickHouse, Real-time decision engines, Fraud domain knowledge
Technologies
Python, Spark, Kafka, Flink, ClickHouse, AWS, Docker, Kubernetes, OpenAI, Anthropic, Google LLMs
Responsibilities
Architect high-throughput data pipelines for real-time signal ingestion; Design distributed systems supporting 10,000+ TPS with low latency; Build agentic flows and AI applications using LLMs; Own and extend internal AI agent workflows; Automate label investigation and rule tuning via map-reduce LLM workflows; Deploy and maintain pipelines for Unsupervised and Supervised ML models; Implement privacy-first security measures (tokenization, hashing)
Seniority
Senior, hands-on IC
