Principal Engineer - GenAI Applications & MLOps

Requirements

• Weave is looking for a Principal Engineer to join the Machine Learning Team, where you will be at the forefront of enabling product innovation and building AI-powered applications.
• In this role, you will help design how teams across Weave build out AI-powered features, serving as a technical leader who bridges the gap between sophisticated machine learning and practical, customer-facing products.
• As a technical cornerstone, you will design the platforms that allow our engineering organization to incorporate AI into their features seamlessly.
• Your success is measured by the scalability of our ML infrastructure and the ability of our product teams to deliver world-class, AI-driven experiences to 30,000+ healthcare practices.
• This is a strategic leadership position requiring deep expertise in MLOps and GenAI.
• You will consult with teams on common ML patterns and tradeoffs, ensuring that our technical strategy for data and intelligence positions Weave as a leader in the healthcare communication space.
• This position is remote (US-based) Reports to: Sr Director of Engineering WHAT YOU WILL OWN INFRASTRUCTURE & DELIVERY - Design and develop ML infrastructure, tooling, and models to help teams deliver world class experiences - Build internal and external products and platforms to enable teams to incorporate AI into their features and customer facing products - Translate product goals into actionable engineering plans and build scalable, resilient services for data integration and event processing CROSS-TEAM
• experience with progressive technical leadership scope - Demonstrable
• experience building and deploying ML driven B2B multi-tenant applications in production environments at scale for external products and customers - Deep expertise in distributed systems architecture, including building and operating services that handle hundreds of millions of transactions and terabytes of data - 8+ years of
• experience in Machine Learning or AI, preferably with a focus on natural language - Expertise with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, multi-modal models, and others - Strong background in scalable data stores—both relational (PostgreSQL at scale, Vitess, Spanner) and NoSQL (Bigtable, Redis, etc.) - Operational
• experience with cloud-native infrastructure on GCP or AWS, including Kubernetes, infrastructure-as-code, and highly available system design - Track record of leading cross-team technical initiatives that delivered measurable business outcomes - Demonstrated ability to influence without direct authority, build consensus across organizational boundaries, and translate technical tradeoffs into business terms WHAT WILL MAKE US LOVE YOU - Expertise with customer facing GenAI at scale, in production - Expertise