AI Engineer
Core
Build and enhance AI-powered systems for proactive identification of fraudulent behavior across client platforms using LLMs, RAG, and agentic workflows.
Role type
AI Engineer (LLM & RAG focus)
Builds
AI-powered fraud detection systems and agentic workflows for digital businesses
Domain
Fraud intelligence / Device security / AI
Deliverable
production ML models
Required skills
Python, LLM APIs (OpenAI, Anthropic, Google Gemini), RAG pipelines, prompt engineering, relational databases (MySQL, PostgreSQL), version control (Git), production software development
Preferred skills
Vector databases, embedding-based retrieval, structured output design (JSON/schema), token optimization, caching systems (Redis, Memcached), fraud detection domain experience
Technologies
OpenAI, Anthropic, Google Gemini, MySQL, PostgreSQL, Git, Redis, Memcached
Responsibilities
Build and maintain AI systems for fraud detection; Design and implement RAG pipelines; Develop and iterate on prompts and evaluations; Prototype and ship new AI features; Integrate new data signals and model capabilities; Conduct comprehensive testing; Write documentation for systems and workflows
Seniority
Mid-level, hands-on IC
