Principal Engineer – GenAI Applications, MLOps

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

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Weave

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🧬 Biotechnologie

🤖 Intelligence artificielle

🏥 Santé

Biotechnology • Artificial Intelligence • Healthcare

Weave développe une plateforme d'IA générative et un graphe de connaissances qui révolutionneront la collaboration au sein des entreprises des sciences de la vie.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• This position is remote (US-based)