Staff Software Engineer, Agent Foundations
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ
What this role actually needs.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ Responsibilities: - Define the technical direction and roadmap for Pinterest's agent platform, including critical components such as agent serving, evaluation, monitoring, and tool calling. - Design and build scalable, highly available infrastructure that supports production-grade agent services operating at company scale. - Partner with and advise internal product and engineering teams on agent tech stack needs, shaping the future vision of the agent platform. - Lead day-to-day technical alignment across teams, driving execution on key agent infrastructure investments and complex cross-functional platform initiatives. - Use AI to accelerate system design, prototyping, and technical decision-making, applying sound judgment to validate outputs and ensure correctness and quality. - Synthesize emerging research and advances in agent technology, translating breakthroughs into actionable platform improvements. Requirements: - 2+ years of experience building agent systems, with a strong understanding of core agent platform components such as memory, serving, evaluation, harnesses, and tool calling. - 7+ years of experience building scalable, highly available backend systems, including designing and operating infrastructure that supports production-grade services at scale. - Experience with cloud-native infrastructure and service deployment technologies such as Kubernetes and Docker, with a strong understanding of how to deploy and manage large-scale services reliably. - Demonstrated technical leadership in setting roadmap and driving execution — including defining technical direction, leading engineering alignment, and partnering across teams to deliver complex platform investments. - Demonstrated ability to use AI to accelerate development, system design, and decision-making, with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes. - Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review). Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Staff Software Engineer, Agent Foundations role.
- Define the technical direction and roadmap for Pinterest's agent platform, including critical components such as agent serving, evaluation, monitoring, and tool calling.
- Design and build scalable, highly available infrastructure that supports production-grade agent services operating at company scale.
- Partner with and advise internal product and engineering teams on agent tech stack needs, shaping the future vision of the agent platform.
- Lead day-to-day technical alignment across teams, driving execution on key agent infrastructure investments and complex cross-functional platform initiatives.
- Use AI to accelerate system design, prototyping, and technical decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
- Synthesize emerging research and advances in agent technology, translating breakthroughs into actionable platform improvements.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 2+ years of experience building agent systems, with a strong understanding of core agent platform components such as memory, serving, evaluation, harnesses, and tool calling.
- 7+ years of experience building scalable, highly available backend systems, including designing and operating infrastructure that supports production-grade services at scale.
- Experience with cloud-native infrastructure and service deployment technologies such as Kubernetes and Docker, with a strong understanding of how to deploy and manage large-scale services reliably.
- Demonstrated technical leadership in setting roadmap and driving execution — including defining technical direction, leading engineering alignment, and partnering across teams to deliver complex platform investments.
- Demonstrated ability to use AI to accelerate development, system design, and decision-making, with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
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Open the source listing from pinterestcareers.com, confirm the role is still active, then apply on the employer or ATS page.
Source: pinterestcareers.com · Source ID: 7494612 · Confidence: 90/100 · Last checked: May 7, 2026
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