Software Engineer, Agent (New Grad 2027)
Sierra · San Francisco, CA
About this role
**Software Engineer, Agent (New Grad 2027)** **About Sierra** Building a platform enabling companies worldwide to create better, more human customer experiences with AI. Partners include SoftBank, Uber, Rivian, CLEAR, and Sutter Health. Founded by Bret Taylor (Board Chair of OpenAI, former Salesforce co-CEO) and Clay Bavor (18 years at Google, led Google Labs). **What You'll Do** • Design and deliver production-grade AI agents—building highly performant, reliable systems running across finance, healthcare, and commerce • Drive the Agent Development Life Cycle (ADLC)—complete ownership from pilot through deployment and continuous iteration • Partner with enterprises and startups—work directly with leaders to understand challenges and build transformative AI solutions • Build the future of the platform—surface unmet needs and shape Sierra's product evolution **Example Projects** • AI agents for telecom/media companies outperforming human agents on subscription churn • Complex customer interaction agents with troubleshooting and personalization • Industry-specific AI agent frameworks • Voice model integration at enterprise scale **What You'll Bring** • Experience building and scaling end-to-end production systems • Strong technical problem-solving in fast-changing, ambiguous environments • Builder's mindset with high agency and creative problem-solving • Comfort working directly with customers • Excellent communication skills **Nice to Have** • AI/LLM production experience • Founder or founding engineer background • Familiarity with eval frameworks, agent tooling, RAG pipelines, prompt engineering • React, TypeScript, or Go experience • Customer-facing or technical leadership experience **What We Offer** Unlimited PTO • Medical/dental/vision • Life/disability insurance • Retirement plan • Parental leave • Fertility benefits • Equity participation • Discretionary benefit stipend **We encourage applications from all backgrounds.** We evaluate applicants consistently without regard to protected characteristics.
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