Backed by Index, Sequoia and a16z.
About the role
Design and build agentic coding systems that we can trust to deliver high-quality outputs Develop a deep understanding of AI application development patterns and techniques, including emerging approaches and architectures.
More about this role
We have an opening to hire a Staff Software Engineer - Agent Optimization
Temporal provides a reliable foundation powering AI leaders such as OpenAI, NVIDIA, Cursor, Lovable, and others. Its adoption is expanding to users spanning a broad range of AI applications ranging from agents to data pipelines and everything in between.
The mission of the AI Foundations team is to accelerate Temporal adoption across the entire ecosystem. Our approach combines a deep understanding of use cases with rigorous application of computer systems and software design principles.
In this role, you will lead our agent optimization efforts. You will design tools and mechanisms to help Temporal users build agents that are optimized for token spend and response time while maintaining result quality. Model routing is a first step, but represents the tip of the iceberg of techniques that we can apply. For example, multi-agent architecture, cache policy, and context management are all relevant. Candidates for this role should have direct experience with this problem domain.
You will work closely with other AI Foundations team members, e.g., those who focus on agentic development, maintaining a set of agents...
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