Design and architect highly available systems for agentic planning and memory management.

Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Set the technical direction for specific workstreams focused on agentic intelligence.

Ensure the reliability and performance of agentic workflows and memory retrieval systems.

Implement production-level code for advanced function-calling and memory architectures.

Identify and resolve technical debt within the planning and memory subsystems.

Bachelor's degree or equivalent practical experience.

5 years of experience programming in Python or C++.

3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision) and with agentic architectures.