Interact with models to identify where function calling and tool use behaviour can be improved
Gather internal and external feedback on tool-calling behaviour to scope areas for improvement
Design and implement evals, data guidelines, data generation, and synthetic tool environments and APIs
Identify and fix edge case behaviours, such as malformed arguments, hallucinated functions, and incorrect tool selection—through rigorous testing
Develop robust evaluation pipelines for the function-calling capabilities of our model candidates
Work collaboratively with AI Scientists

Deep understanding of either API design, structured outputs, and schema specification (e.g. JSON Schema)
Prior knowledge in training and optimising model behaviour
Expert at building robust evaluations
Thrive in dynamic and technically complex environments
Track record of delivering innovative, out-of-the-box solutions to address real-world constraints

Model Behavior Architect – Function Calling

Key skills