Charm Security - Applied AI Researcher
Core
Design, build, and evaluate AI agents and models for fraud investigation, frontline guidance, and threat intelligence to prevent scams and human-centric fraud.
Role type
Applied AI Researcher (Agentic AI)
Builds
AI agents and real-time decision pipelines for fraud prevention
Domain
Fintech / Cybersecurity / Fraud Detection
Deliverable
production ML models
Required skills
Agentic AI techniques, LLM fine-tuning, real-time pipeline engineering, AI-assisted development, end-to-end product ownership
Preferred skills
Cybersecurity/threat intelligence background, RAG and vector databases, privacy-preserving AI, regulated enterprise data experience
Technologies
LLMs, ML frameworks, coding agents, vector databases (Pinecone, Weaviate, pgvector) (via careerplan.io/jobs/61-003-FC-079-charm-security-applied-ai-researcher-at-team8)
Responsibilities
Design and build AI agents for fraud investigation and threat intelligence; Model manipulation and deception in real conversations; Optimize models for latency and accuracy in high-volume use cases; Use AI tooling to prototype and ship faster
Seniority
Mid-Senior, hands-on IC
