Sierra
Software Engineer, Agent - Insurance
About this role
Sierra seeks a Software Engineer to design and deploy production-grade AI agents for financial services customers, driving mission-critical systems that handle complex insurance and banking workflows. You'll own the full agent development lifecycle, partner directly with enterprise clients, and shape the evolution of Sierra's AI platform.
What you'll do
- Build and ship production-grade AI agents for insurance claims, underwriting, and customer service use cases
- Own the complete agent development lifecycle from pilot through deployment and continuous optimization
- Partner directly with enterprise financial services clients to understand business challenges and translate them into agent solutions
- Surface unmet platform needs and prototype new tools to inform Sierra's product roadmap
- Experiment with cutting-edge voice models and AI technologies, integrating them for enterprise-scale deployment
- Define and establish best practices for the Agent Development Life Cycle across the team
What they're looking for
- Production systems design and scaling
- AI/LLM systems development and deployment
- Problem-solving in ambiguous, fast-changing environments
- Customer-facing technical engagement and communication
- Agent tooling and frameworks (eval, RAG, prompt engineering)
- TypeScript, React, and/or Go
- Financial services domain knowledge or compliance/security understanding
- Full-stack product thinking and ownership
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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
- Describe a production system you've built end-to-end—what were the biggest scaling challenges and how did you overcome them?
- Tell us about a time you worked with enterprise customers to understand their needs and translated that into a technical solution.