About this role
Based in San Francisco, CA, the Software Engineer, Agent (Spanish speaking) role at Sierra involves designing production-grade AI systems and driving the agent development life cycle. This position suits bilingual engineers with a strong background in scaling end-to-end production systems who want to build customer-facing AI agents for major enterprises.
Role Overview
Sierra is hiring a full-time Software Engineer, Agent (Spanish speaking) to work in-person in San Francisco, CA. The position focuses on designing and delivering reliable, high-performance AI agents that run in production environments across industries such as finance, healthcare, and commerce. The engineer will maintain full ownership of the agent development life cycle from pilot to deployment while collaborating directly with global enterprise customers and startups.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Sierra operates as a platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. The company is primarily in-person in San Francisco with growing offices across North America, Europe, and Asia. Sierra is guided by core values emphasizing trust, customer obsession, craftsmanship, intensity, and family balance. The organization was co-founded by Bret Taylor and Clay Bavor.
How to Apply
To apply for this position, visit the official Sierra careers page.
Skills and tech stack
Questions candidates ask
Where is the Software Engineer, Agent position located?
The role is based in San Francisco, CA, as Sierra is primarily an in-person company.
What language requirements exist for this job?
Candidates must have professional fluency in both Spanish and English.
What is the salary range for this role?
The salary ranges from $180K to $390K with equity offers.
What benefits are provided to full-time employees?
Benefits include flexible paid time off, medical, dental, and vision coverage, life and disability insurance, parental leave, fertility benefits through Carrot, a discretionary benefit stipend, retirement plans, daily office meals, and free alphorn lessons.
Is prior AI experience strictly required?
While experience building or deploying AI and LLM systems in production is listed as a nice-to-have qualification, the core requirement is experience building and scaling end-to-end production systems alongside bilingual fluency.