Principal Engineer - GenAI Applications & MLOps

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 Problem Solving

• Help product and development teams understand the data lifecycle and consult with teams on common ML patterns/tradeoffs
• Coach and collaborate inside and outside the team to elevate technical standards
• Write high-quality, performant, sustainable, and testable code while working in a cloud environment

Strategic Technical Leadership

• Monitor the industry landscape, anticipate where technological advances are heading, and ensure Weave stays ahead of the curve
• Cut through noise and hype to identify genuine strategic value; advocate for and lead key initiatives that prepare Weave for emerging challenges
• Shape company-wide standards for engineering excellence, observability, and reliability in distributed systems

Mentorship & Organizational Capability

• Actively mentor Staff and Senior Engineers across the fellowship, developing the next generation of technical leaders
• Elevate architectural thinking across teams through design reviews, documentation standards, and hands-on guidance
• Build organizational capability that persists beyond your individual contributions

What You Will Need

• 12+ years of software engineering experience with progressive technical leadership scope
• Demonstrable experience building and deploying ML-driven B2B multi-tenant applications in production environments at scale
• 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
• Strong background in scalable data stores—both relational (PostgreSQL at scale, Vitess, Spanner) and NoSQL (Bigtable, Redis)
• 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

What Will Make Us Love You

• Expertise with customer-facing GenAI at scale, in production
• Expertise building low-latency high-accuracy AI Agents
• Background in compliance-heavy environments (healthcare, fintech)
• History of external technical leadership: open source contributions, conference speaking, or published technical writing