Lead GenAI Engineer, Voice AI & ML Platform (Remote)

Weave; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Weave is seeking a Principal Engineer for the Machine Learning Team focused on voice and audio modalities. You will design platforms enabling AI-powered features and lead architectural decisions across teams, bridging ML theory with customer-facing products.

Remote work available for US-based candidates. You will own ML infrastructure, collaborate with engineering managers and staff engineers, and drive strategic technical initiatives across Weave's data and AI capabilities, including Call

Qualifications

• 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, with a focus on or expertise in audio and voice GenAI solutions at scale.
• Deep expertise with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, and specifically high-scale audio/voice models and LLM evaluations
• 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

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.
• 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.

Skills

Distributed systems

MLOps

GenAI

Audio/Voice

LLMs

Kubernetes

PostgreSQL

NoSQL

Cloud platforms

Observability

Mentorship

Education

BS in CS

Tools

Kubernetes

Job description

Weave is seeking a Principal Engineer for the Machine Learning Team focused on voice and audio modalities. You will design platforms enabling AI-powered features and lead architectural decisions across teams, bridging ML theory with customer-facing products.

Remote work available for US-based candidates. You will own ML infrastructure, collaborate with engineering managers and staff engineers, and drive strategic technical initiatives across Weave's data and AI capabilities, including Call