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Principal ML - GenAI Engineer - Speech / Voice AI

WeaveUS RemoteTechnology
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
7 Aug 2026
Status
Open · checked 7d ago

About this role

This remote role as a Principal ML - GenAI Engineer at Weave places the right candidate at the forefront of voice and audio AI innovation, making it an ideal opportunity for a seasoned technical leader looking to shape healthcare communication technology. Weave seeks an expert to design platforms that enable engineering teams to integrate artificial intelligence seamlessly into customer-facing applications.

Role Overview

As a Principal ML - GenAI Engineer, the focus centers on leading the development of machine learning infrastructure, tooling, and models specialized in voice and audio modalities. Operating within a fully remote setup based in the US, this strategic position reports directly to the Senior Director of Engineering. The person in this role will act as a technical cornerstone across multiple engineering teams within the Data Fellowship, which owns products like Call Intelligence and AI Receptionist. Success in this position is measured by the scalability of the machine learning infrastructure and the capability of product teams to deliver world-class AI-driven experiences to over 30,000 healthcare practices.

Key Responsibilities

Design and develop machine learning infrastructure, tooling, and models to help teams deliver world-class experiences.
Build internal and external products and platforms enabling teams to incorporate AI into customer-facing features.
Translate product goals into actionable engineering plans and build scalable, resilient services for data integration and event processing.
Consult with product and development teams on the data lifecycle, common machine learning patterns, and technical tradeoffs.
Coach and collaborate internally and externally to elevate technical standards while writing testable, performant, and sustainable code in a cloud environment.
Monitor industry landscapes, anticipate technological advances, and advocate for strategic initiatives that prepare the organization 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 to develop future technical leaders.

Requirements

12+ years of software engineering experience with progressive technical leadership scope.
Demonstrable experience building and deploying machine learning-driven B2B multi-tenant applications in production environments at scale.
Deep expertise in distributed systems architecture, including building and operating services handling hundreds of millions of transactions and terabytes of data.
15+ years of experience in Machine Learning or AI, with a focus on audio and voice Generative AI solutions at scale.
Deep expertise with modern machine learning tools and techniques, including Large Language Models, RAG, prompt engineering, fine-tuning, and high-scale audio/voice models and LLM evaluations.
Strong background in scalable data stores, covering both relational systems like PostgreSQL at scale, Vitess, or Spanner, and NoSQL systems like Bigtable or Redis.
Operational experience with cloud-native infrastructure on Google Cloud Platform or Amazon Web Services, including Kubernetes, infrastructure-as-code, and highly available system design.
Proven track record of leading cross-team technical initiatives that deliver measurable business outcomes and building consensus across organizational boundaries.

Nice to Have

Expertise with customer-facing Generative AI at scale in production environments.
Experience building low-latency, high-accuracy AI agents.
Mandatory deep experience delivering meaningful voice or audio Generative AI solutions to external products at scale.
Background in compliance-heavy industries such as healthcare or fintech, navigating regulatory requirements in technical designs.
History of external technical leadership including open source contributions, conference speaking, or published technical writing.

Skills and Tools

AWS
GCP
Kubernetes
LLM
RAG
MLOps
PostgreSQL
Vitess
Spanner
Bigtable
Redis
Prompt Engineering
Fine Tuning

About the Company

Weave provides a leading communication and operational platform tailored for healthcare practices, supporting over 30,000 customers. The company fosters an inclusive, equal opportunity workplace dedicated to supporting individuals who are eager to learn, solve problems, and progress.

How to Apply

Interested candidates should visit the official company careers page at getweave.com to submit an application and review further details regarding the hiring process.

Skills and tech stack

AWSGCPKubernetesLLMRAGMLOps

Questions candidates ask

Is this position fully remote?

Yes, this is a remote position for candidates based in the United States.

What department does this role belong to?

This role sits within the Technology department and specifically operates across engineering teams within the Data Fellowship.

What specific AI focus does this role require?

The role requires a strong focus on audio and voice Generative AI solutions at scale, along with expertise in modern tools like LLMs, RAG, prompt engineering, and fine-tuning.

How many years of experience are required?

The position requires 12+ years of software engineering experience with progressive technical leadership scope, and 15+ years of experience in Machine Learning or AI.

Who does this position report to?

This role reports to the Senior Director of Engineering at Weave.

Ready to apply?

The application is on the official Weave careers page.

Apply on company site