Software Engineer, Agent - Insurance

Sierra Sierra · AI Frontier · San Francisco, CA · Engineering

Software Engineer, Agent role focused on designing, building, and shipping production-grade AI agents for enterprise customers in the insurance and financial services industries. The role involves owning the full Agent Development Life Cycle (ADLC), partnering with clients, and contributing to the evolution of Sierra's core AI platform.

What you'd actually do

  1. Design and deliver production-grade AI agents
  2. Drive the Agent Development Life Cycle (ADLC)
  3. Partner with large enterprises and cutting-edge startups
  4. Build the future of the platform

Skills

Required

  • 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

Nice to have

  • Experience building or deploying AI/LLM systems in production
  • Been a founder or founding engineer
  • Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineer
  • Experience in insurance technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements

What the JD emphasized

  • production-grade AI agents
  • Agent Development Life Cycle (ADLC)
  • AI agents that transform how they operate at scale
  • AI agents for large insurance companies that consistently outperform human agents in filing claims quickly and consistently
  • AI agents capable of navigating complex customer interactions
  • generalizable AI agent frameworks tailored for industry-specific use cases
  • new agent architectures
  • self-service capabilities
  • generative agent development
  • latest voice models and figure out how to integrate them at scale to enterprise-grade customers
  • building and scaling end-to-end production systems
  • fast-changing, ambiguous environments
  • builder and tinkerer's mindset with high agency
  • working directly with customers
  • financial services security and compliance requirements

Other signals

  • production-grade AI agents
  • Agent Development Life Cycle (ADLC)
  • customer-facing AI products
  • AI agents that transform how they operate at scale