Data Scientist - Agentic AI Systems - Loops

We are seeking a Data Scientist with a strong research mindset to help shape the future of agentic AI systems. This role blends deep analytical thinking with fast-paced experimentation and model development, where your insights will directly inform how AI agents reason, plan, and act in dynamic environments.

You’ll work on a cross-functional team exploring how AI agents learn from real-world data, adapt to user intent, and interact autonomously—or collaboratively—with users and systems. If you’re a self-starter who thrives on ambiguity, builds fast, and can bridge theory with practical outcomes, this role is for you.

Key Responsibilities

• Design and run applied research initiatives that inform the behavior and learning loops of AI agents
• Build and evaluate models for planning, memory, retrieval, reasoning, or tool use in agentic systems
• Develop internal tools and pipelines to test agent behavior across different environments
• Analyze structured and unstructured data from user-agent interactions, logs, and experiments
• Rapidly prototype and test hypotheses to improve agent performance and reliability
• Collaborate with engineering, product, and design to translate insights into deployable features
• Communicate findings clearly and concisely to both technical and non-technical audiences