Principal Engineer – GenAI Applications, MLOps

Weave

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.

Posted 5/16/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformKubernetesNoSQLPostgresRedis

About the role

Key responsibilities & impact

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

What you’ll 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 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

Comp & perks

This position is remote (US-based)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdistributed systems architectureB2B applicationsnatural language processingLLMsRAGprompt engineeringfine tuningmulti-modal modelsdata integration

Soft Skills

technical leadershipmentoringcollaborationinfluence without authorityconsensus buildingarchitectural thinkingcoachingcommunicationproblem-solvingstrategic advocacy