Software Engineer, Agent - Financial Services
San Francisco, CA • FullTime
Posted 2mo ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco. Our Financial Services team works closely with major banks, neobanks, and insurers to set AI strategies and build modern tools that handle critical customer interactions. We are transforming the customer experience in financial services, making the industry more accessible, human, and affordable.
Responsibilities
- Design and deliver production-grade AI agents that are highly performant, reliable, and drive revenue.
- Own and manage the Agent Development Life Cycle (ADLC) from pilot through deployment and iteration.
- Build, tune, and evolve AI agents in production environments, setting ADLC best practices.
- Partner with large enterprises and startups to understand business challenges and build AI agents that transform operations.
- Collaborate with research, product, and platform teams to shape the future of AI agent development and the core platform based on customer needs.
- Design and build AI agents for telecommunications and media companies to manage subscription churn.
- Develop and refine AI agents for complex customer interactions like troubleshooting and product recommendations.
- Create generalizable AI agent frameworks for industry-specific use cases.
- Facilitate design partnerships for new product initiatives, including agent architectures and self-service capabilities.
- Experiment with and integrate voice models at scale for enterprise customers.
Requirements
- Experience building and scaling end-to-end production systems.
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.
- A builder and tinkerer's mindset with high agency.
- Comfort working directly with customers to understand their needs and solve real-world problems.
- Excellent communication skills, clear, direct, and persuasive across technical and non-technical audiences.
- Genuine interest in Financial Services and improving the end customer experience.
- Experience building or deploying AI/LLM systems in production.
- Familiarity with tools that power AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering.
- Prior experience with React, TypeScript, and/or Go.
- Previous roles interfacing with customers or leading technical projects with external stakeholders.