Design and launch critical, differentiating capabilities for continuous AI, such as a proactivity, personalization, context awareness, self-improvement, verification.

Strengthen multi-agent interaction and agent architectures, including planning, orchestration, continuous iteration and memory.

Enhance agent state management through context engineering, dynamic/content-aware updates and multiple knowledge sources.

Lead efforts to measure and hillclimb performance on custom benchmarks and industry-standard benchmarks (where applicable).

Own quality and reliability of agents in production related to performance, compliance and consistency.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in Python.

Experience building and deploying Generative AI Agents that leverage Large Language Models (LLMs).

Experience in AI platform development, AI infrastructure, or applied Artificial Intelligence.