Sierra
Software Engineer, Agent - Tech, Media & Telecom
About this role
Sierra seeks a Software Engineer to design and deploy production-grade AI agents for leading enterprises in tech, media, and telecom. You'll own the full agent development lifecycle, work directly with Fortune 500 customers, and shape the future of Sierra's AI platform through real-world implementations that drive measurable business impact.
What you'll do
- Build and ship production-ready AI agents serving millions of customer interactions across finance, healthcare, and commerce
- Own the complete agent development lifecycle from pilot through deployment and ongoing optimization
- Partner with enterprise and startup leaders to translate business challenges into intelligent agent solutions
- Develop personalization and experimentation systems using Sierra's Context Engine for autonomous learning
- Design conversational systems including voice experiences, content discovery, and troubleshooting agents
- Surface unmet platform needs and collaborate with product and research teams on feature evolution
What they're looking for
- End-to-end production system design and scaling
- AI agent architecture and development
- Problem-solving in ambiguous, fast-moving environments
- Customer discovery and direct stakeholder engagement
- Technical communication with diverse audiences
- Conversational AI and natural language systems
- Data-driven personalization and experimentation
- Telecommunications, media, or technology domain knowledge
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Sierra
Sierra builds production-grade AI agents for enterprise clients in insurance, financial services, and other industries, enabling companies to automate complex business processes and enhance customer experiences. The company is hiring Software Engineers to design and deploy mission-critical AI systems, develop platform infrastructure, and work directly with enterprise customers on agent development and optimization.
View all jobs at SierraLikely interview questions
- Walk us through a production system you've built from scratch—what were the biggest scaling challenges and how did you solve them?
- Tell us about a time you worked directly with customers to understand their needs. How did that feedback change your technical approach?