Principal Engineer – GenAI Applications, MLOps
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Job Description
Principal Engineer leading the Machine Learning Team at Weave, enabling AI feature development and infrastructure design. Focus on building scalable ML systems for healthcare communication.
Responsibilities:
- 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
- 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
- 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
- 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
Requirements:
- 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 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.
Benefits:
- This position is remote (US-based)
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