Applied AI Engineer
Core
Design, build, and optimize AI-powered features that integrate directly into real insurance workflows, focusing on LLM-based interactions and automation.
Role type
Applied AI Engineer (LLM integration & product features)
Builds
AI-powered product features, chat, recommendations, and decision support systems for insurance workflows
Domain
Insurance / Large Language Models (LLM)
Deliverable
product features
Required skills
Software engineering in production, LLM integration, prompt engineering, API-based system integration, A/B testing, data-driven evaluation, product judgment
Preferred skills
Experience with OpenAI, Anthropic, or open-source LLMs, structured outputs, tool-use patterns, experimentation frameworks
Technologies
NodeJS, Python, NoSQL, SQL, REST, AI APIs
Responsibilities
Design and optimize LLM-based interactions across customer-facing and internal systems; Develop prompts, reasoning flows, and structured AI outputs for production; Evaluate model performance using real-world data and feedback loops; Improve reliability via guardrails, fallback logic, and validation; Connect AI capabilities with backend APIs and workflows; Implement AI-driven automation like chat and decision support; Analyze user behavior to improve AI performance; Collaborate with product, design, and engineering teams to deliver end-to-end features.
Seniority
Mid-to-Senior, hands-on IC
