Staff Software Engineer, AI Foundations (AI Agent Optimization)
AI summary of the role
Staff-level engineer on Temporal's AI Foundations team leading agent optimization efforts.
What you’ll do
- Lead agent optimization efforts, designing tools to optimize token spend and response time while maintaining result quality.
- Maintain and expand deep understanding of agentic coding and design trustworthy agentic coding systems.
- Take end-to-end ownership of new features, working with other teams to deliver reliability and developer experience.
- Serve as domain expert on AI design patterns, collaborating with field staff and writing public technical documentation.
What you’ll bring
- 8+ years of professional work experience.
- Proven experience optimizing AI systems using both machine learning and systems techniques.
- Experience and passion for harnessing generative AI, particularly for agents and coding.
- Fluency in multiple programming languages (Python, TypeScript, Java, Go) and affinity for learning new ones.
Technologies
Temporal · Python · TypeScript · Java · Go · OpenAI Agents SDK · Codex · Claude Code · machine learning · distributed systems
About Temporal
Open-source durable execution platform that lets developers write long-running, fault-tolerant workflows and AI agents as ordinary code.
Series D · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Role Summary 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
More from the job description
Role Summary 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 skills that lift performance of Codex, Claude Code, and similar tools for developers of Temporal applications. Other team members build ecosystem integrations or develop policy and se [... source excerpt omitted ...] and invest in systems and practices that foster long-term success. Most of Temporal’s work is open source—see for yourself here: https://github.com/temporalio [new window] What You'll Do Work as a software engineer Maintain and expand a deep understanding of agentic coding 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. Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience. Work with multiple programming languages: P [... source excerpt omitted ...] need expert attention and get feedback on Temporal features and APIs. Write public technical documentation describing Temporal concepts and APIs. Go the extra mile to support a customer in need, on the rare occasion that our teams’ engineering expertise is needed. Travel to meet your coworkers for a week once or twice a year. Attend the occasional developer conference to talk about how great Temporal is (optional). What You’ll Bring 8+ years of professional work experience. Proven experience in optimizing AI systems using both machine learning and systems techniques Experience and passion for harnessing generative AI, particularly for agents and coding. A deep appreciat
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