Software Engineer, Agent Runtime

About us

Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.

Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.

What you'll do

• Build the core systems that power agents. You’ll work on the Agent SDK — the orchestration engine, runtime, and primitives that define how agents reason, take actions, and interact with users and systems.

• Design the agentic loop. What primitives do we need to build agents that are steerable and verifiable, while still conversational and adaptive? You’ll help define how agents operate in real-world environments.

• Improve retrieval and grounding. You’ll build systems that ensure agents provide accurate, trustworthy responses by effectively retrieving and using knowledge.

• Build evaluation systems. You’ll design frameworks that allow us and our customers to measure and improve agent quality over time.

What you'll bring

• A passion for being on the frontier of AI products.

• Strong software engineering fundamentals and experience building production systems.

• Motivation and high-agency to drive outcomes in a high-autonomy culture.

• 4+ years hands-on experience building production products and systems.

• Degree in Computer Science or related field, or equivalent professional experience.

Even better

• Experience building AI-powered systems or agent frameworks.

• Experience with retrieval, evaluation systems, or LLM-based applications.

• Experience building developer platforms or SDKs.

• Experience with Go and Typescript.

Our values

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