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Navierre seeks an Agentic AI Engineer to transform our web and mobile products into agentic systems powered by conversational AI. You will design intelligent agents, multi-step workflows, and conversational experiences that enable users to accomplish tasks through natural dialogue while integrating into our product ecosystem.
This hands-on role combines AI experience design with full-stack engineering. You will build conversational interfaces, implement agent frameworks, modify backend services,
Navierre is an early-stage InsurTech and HealthTech company building the data infrastructure to enable smarter decisions in life insurance and healthcare. Our platforms, including Orion and Eterna - enable insurers, reinsurers, and healthcare enterprises to securely access, process, and act on clinical, and claims data at scale.
We sit at the intersection of two historically data-rich but analytically underserved industries, and we're building the systems to change that. Our work spans real-time data pipelines, interoperability standards, and AI-driven analytics - all in regulated environments where reliability and compliance are not optional.
We're a lean, senior team moving fast, and we're looking for leaders who want to help shape what we build next.
We are seeking an Agentic AI Engineer to transform our existing web and mobile products into agentic systems powered by conversational AI. This role focuses on designing and building intelligent agents, multi-step agentic workflows, and conversational experiences that enable users to accomplish tasks through natural dialogue rather than traditional application flows. You will integrate these capabilities into our existing product ecosystem, ensuring agents can reason, take actions, interact with platform services and data, and maintain context across workflows - while delivering experiences that are reliable, scalable, secure, and consistent across web and mobile.
This is a hands-on engineering role that requires both AI experience design and full-stack engineering capability. You must be comfortable building conversational interfaces, implementing agent frameworks, and making necessary backend changes to support new agent-driven workflows.
You should also be highly proficient at using AI throughout the software development lifecycle (SDLC) - including generating requirements, designing systems, accelerating development, and improving testing and automation.