Related skills
backend cloud python typescript apisπ Description
- Design and implement agent workflows and orchestration systems for AI-powered features
- Build backend services that integrate LLMs with insurance data and platform APIs
- Develop infrastructure for tooling, context management, and agent execution
- Contribute to internal frameworks supporting prompt iteration, evaluation, and observability
- Partner with product and design to translate underwriting workflows into AI-enabled product experiences
- Help define architectural patterns for building reliable AI-native features in production
- Work across backend systems, data infrastructure, and product integrations to ship user-facing capabilities
π― Requirements
- 10+ years of experience in backend engineering, data engineering, or related roles
- Strong experience building production backend systems and APIs
- Professional experience working with LLMs, agent systems, or generative AI applications
- Hands-on experience with prompt design, tool-based agent architectures, or LLM workflows
- Proficiency in Python or similar backend languages
- Experience working with cloud infrastructure and distributed systems
π Benefits
- Stock options
- Benefits
- Additional perks
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