Located in Petah Tikva, hybrid
Temp position for 12 months!
About the Role
You will own the quality and accuracy of AI-assisted fraud and risk review workflows.
Working at the intersection of LLM prompt engineering and operations, you will analyze where the AI agent disagrees with human analysts, diagnose root causes, and iteratively improve the prompts and decision logic that power the agent.
What You Will Do
Evaluate AI output quality - read model decisions and reasoning, identify where the AI diverges from expected outcomes, and prioritize gaps to fix.
Improve the AI instructions - edit structured prompt and rubric files to sharpen decision logic, close coverage gaps, and prevent regressions.
Run controlled experiments - propose a change, validate it against a representative TEST set, and ship only when results meet the quality bar.
Requirements: Strong analytical and written communication skills - you will spend most of your time reading AI reasoning, writing precise instructions, and explaining trade-offs.
working with LLM outputs - reading model reasoning chains, spotting hallucinations, identifying ambiguous instructions.
Ability to effectively work with AI-based IDEs (such as Cursor or Claude Code) to read, edit, and validate configuration files.
Systematic, hypothesis-driven mindset - you TEST one thing at a time and measure before shipping.
High attention to detail in regulatory or risk-adjacent domains (fraud, compliance, underwriting, identity).
Nice to Have
Background in fraud operations, compliance review, or financial services risk.
Prior experience with prompt engineering or iterative AI improvement workflows.
This position is open to all candidates.