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Tech Stack
Tools & technologiesCloudDistributed SystemsPython
About the role
Key responsibilities & impact- Design and implement agent workflows and orchestration systems for AI-powered product features
- Build backend services that integrate LLMs with structured 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
Requirements
What you’ll need- 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
- Comfort working across layers of the stack, from infrastructure to product integration
- Strong curiosity about emerging AI architectures and agent patterns
- Comfortable navigating ambiguity and working in a fast-paced, collaborative environment.
Benefits
Comp & perks- Total compensation package includes stock options, benefits and additional perks.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
backend engineeringdata engineeringproduction backend systemsAPIsLLMsagent systemsgenerative AI applicationsprompt designPythoncloud infrastructure
Soft Skills
curiositynavigating ambiguitycollaboration
