ShaeWellness

ShaeWellness

ShaeWellness is an innovative epigenetic data-tracking platform focused on enhancing corporate health and wellness programs. Founded by CEO Matt Riemann, the platform utilizes AI, over 500 algorithms, and 10,000 data points per user to provide personalized, evidence-based health recommendations through its app, Shae™. This medically-endorsed and scientifically-validated tool shifts the focus from generic wellness to precision health, offering insights into various aspects of well-being, including mental, physical, and emotional health. The ShaeWellness platform analyzes body measurements, lifestyle stress data, and epigenetic factors to deliver real-time, customized nudges for nutrition, fitness, sleep, and mindfulness. It features a corporate interface for managing employee productivity and well-being, along with tailored health coaching and bespoke programs for organizations. With a global reach in over 120 countries, ShaeWellness serves a diverse clientele, including corporate clients, medical experts, and wellness practitioners, aiming to provide objective, data-driven wellness solutions.

health, wellness & fitness
1-10
Founded 2013

Description

  • Design and maintain scalable AI-first architecture for multi-tenant B2B2C platforms, APIs, and white-label deployments.
  • Build and maintain event-driven systems, modern data infrastructure, and distributed service architectures.
  • Work with Azure managed cloud services, including serverless infrastructure and containerized workloads.
  • Manage infrastructure components such as vector databases, feature stores, data pipelines, CI/CD pipelines, infrastructure-as-code, secrets, and identity management.
  • Establish operational standards for SLIs, SLOs, error budgets, monitoring, alerting, and incident runbooks.
  • Translate product and clinical use cases into production AI features and model-enabled capabilities.
  • Develop systems using RAG, AI agents, tool-use systems, multimodal AI, and time-series analysis on wearable data.
  • Manage the full model lifecycle, including evaluation, prompt and model versioning, experimentation, A/B testing, and continuous improvement pipelines.
  • Lead development of agentic AI systems and agent-builder platforms that enable non-programmers to build technology.
  • Design privacy-by-design and security-focused systems for sensitive health and personal data, including PII/PHI handling and compliance.

Requirements

  • At least 8 AI products brought to production with strong experience building cloud-based systems and AI-powered products.
  • 4+ years of experience with TypeScript using frameworks such as NestJS and Fastify.
  • 4+ years of experience with Python, particularly using FastAPI.
  • Hands-on experience with modern AI development tools including LangGraph and LLM orchestration frameworks.
  • Experience with prompt engineering pipelines and large language models such as GPT, Claude, Gemini, and Grok.
  • Experience working with Azure cloud infrastructure, including Azure Container Apps, Azure Functions, Azure PostgreSQL, Managed Database, Cosmos DB, and vector databases such as Qdrant.
  • Demonstrated experience building AI agents or agentic workflows in production environments.
  • Experience implementing AI-assisted development or code-generation workflows.
  • Strong understanding of distributed systems, API design, data infrastructure, and security fundamentals.
  • 5-7+ years building cloud-based technology products, plus 3+ years as a Tech Lead, Principal Engineer, or Solutions Architect.
  • Production experience deploying LLMs or AI agents at scale.
  • Strong systems design capability and experience building reliable production infrastructure.
  • Comfort building production-grade AI platforms and working in fast-moving, remote, globally distributed teams.

Benefits

  • Monthly retainer of USD $1,500–$2,500.
  • Annual performance bonus for KPI over-performance and measurable platform impact.

Interested in this position?

Apply directly on the company website

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