Software Engineer, Agent
AI summary of the role
Build and ship production-grade AI agents for enterprise customer service across finance, healthcare, and commerce, owning the full Agent Development Life Cycle from pilot to iteration.
What you’ll do
- Design and deliver production-grade AI agents that drive revenue
- Drive Agent Development Life Cycle with full ownership
- Partner with enterprises and startups to build transformative agents
- Prototype tools and features to evolve the platform
What you’ll bring
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving in ambiguous environments
- Builder mindset with high agency
- Comfort working directly with customers
Technologies
AI agents · LLM · RAG · eval frameworks · agent tooling · prompt engineering · React · TypeScript · Go · voice models
About Sierra
Conversational AI agent platform for enterprise customer service, spanning chat and voice across finance, healthcare, retail, and media.
Series C
Source and classification
Production engineering · Evidence for this classification:
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 Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments,
More from the job description
About us At Sierra, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health. 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 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. What you’ll do Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren [... source excerpt omitted ...] es—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate [... source excerpt omitted ...] dge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. 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
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