You will manage a specific territory by building trust with physicians and clinics to drive prescription volume. Additionally, you will collaborate with patient services to resolve access issues and meet daily performance metrics.
Design and scale backend services for AI agent products while collaborating with ML and frontend teams to ensure production readiness. Maintain high reliability and low latency for high-volume services while managing large data volumes.
You will build, configure, and deploy AI agents for enterprise customers while managing integrations with APIs, databases, and CRMs. Additionally, you will troubleshoot agents on live traffic and own the entire lifecycle from proof of concept to launch.
Design and implement multi-step LLM systems including reasoning, retrieval, and planning. Set technical quality, latency, and cost targets while mentoring senior engineers.
You will own the end-to-end customer deployment process, from initial scoping to post-launch tuning of AI agents. You will serve as the primary customer contact, facilitating working sessions and refining deployment playbooks.
You will build end-to-end features for a no-code workflow platform, including UI components, visual editors, and backend services. You will also collaborate with ML engineers to ensure AI analysis is configurable and maintain system performance and reliability.
You will take new AI products from initial concept to production while managing user workflows and design. Additionally, you will build tools for testing and monitoring agents while using data to drive product development.
