The Senior Data Scientist will own end-to-end AI evaluation projects, including building infrastructure for LLM-as-a-Judge systems and developing robust evaluation frameworks. They will also curate high-quality datasets and collaborate with cross-functional teams to drive product improvements and mentor junior staff.
The Director of Customer Success will own the post-sales lifecycle, ensuring that AI-driven care management tools are successfully deployed and adopted within enterprise healthcare organizations. This role involves building repeatable operational playbooks, managing complex integrations, and driving measurable clinical and operational outcomes for customers.
The role involves designing and executing comprehensive test plans and building scalable automation frameworks to ensure system reliability. You will collaborate with engineering and AI/ML teams to validate end-to-end workflows and integrate testing into CI/CD pipelines.
Architect and maintain scalable APIs and microservices using TypeScript to power conversational AI workflows. Design orchestration services and ensure secure, compliant integration with healthcare systems like EHRs.
Design and scale core systems for a conversational AI platform, working across TypeScript backend services and React frontend applications. Responsibilities include architecting scalable APIs, managing healthcare data pipelines, and ensuring HIPAA compliance and system security.
Design and maintain real-time voice pipelines and Python micro-services for conversational AI orchestration. Focus on delivering ultra-low latency, implementing production hardening, and integrating various ASR, TTS, and LLM providers.
Design and maintain scalable automated test frameworks for Salesforce applications, focusing on functional, regression, and integration testing. Validate end-to-end business workflows and integrate automated suites into CI/CD pipelines to ensure high-quality releases.
Lead the design and operation of a scalable data platform to support analytics, ML Ops, and business intelligence. Develop and optimize ETL pipelines and infrastructure for Large Language Model (LLM) operations and serving platforms.
Ensure the reliability and quality of the Sage conversational AI product through automated testing and prompt validation across client workflows. Perform daily root cause analysis on LLM failures and debug live production calls to resolve critical technical roadblocks.
