Software Engineer, Agent (Cantonese Speaking)

About the role

At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. 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 Family. 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.

Responsibilities

• Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
• Example projects
• These are some examples of projects that engineers on our team have worked on recently:
• Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
• Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
• Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog !
• Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
• Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers

Requirements

• Experience building and scaling end-to-end production systems
• Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
• A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship
• Comfort working directly with customers to understand their needs and solve real-world problems
• Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
• Proficiency in Cantonese is required to support interactions with Cantonese-speaking clients.
• Even better...
• Experience building or deploying AI/LLM systems in production
• Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
• Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
• Prior experience with React, TypeScript, and/or Go
• Previous roles where you interfaced with customers or led technical projects with external stakeholders
• Our values
• Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
• Craftsmanship: We

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