Principal ML - GenAI Engineer - Speech / Voice AI

Ovii's Interpretation of the Role

Weave seeks a Principal Engineer to lead the design and delivery of large‑scale machine‑learning infrastructure for voice and audio AI. The role drives technical strategy, mentors senior engineers, and ensures AI features integrate seamlessly into product teams serving thousands of healthcare practices.

Role Snapshot

• Principal technical leader for ML infrastructure
• Architect of distributed, high‑throughput AI platforms
• Mentor for staff and senior engineers across the data fellowship
• Strategic partner to product and engineering managers
• Champion of engineering excellence and reliability

Must-Have Requirements

• Distributed systems architecture
• Audio/voice Generative AI
• LLMs, RAG, Prompt Engineering, Fine Tuning
• Scalable data stores (PostgreSQL, Vitess, Spanner, Bigtable, Redis)
• Cloud platforms (GCP or AWS)
• Kubernetes
• Infrastructure-as-code
• software engineering
• machine learning
• distributed systems
• cloud infrastructure
• background check

Nice-to-Have Signals

• Experience in compliance‑heavy environments (healthcare, fintech)
• Open source contributions, conference speaking, or technical writing
• compliance‑heavy environments
• external technical leadership

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

Eligibility Gates

• Work authorization: must be authorized to work in the United States
• Visa sponsorship: no
• Background check: required

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Travel
• Shift
• Security clearance
• Coding test

What You'll Likely Work On

• Design and build ML infrastructure, tooling, and models that power voice‑AI products.
• Create internal platforms enabling product teams to embed AI features at scale.
• Translate product objectives into resilient, high‑throughput services for data integration and event processing.
• Consult across squads on data lifecycle, ML patterns, and trade‑offs.
• Lead cross‑team technical initiatives and set company‑wide standards for distributed systems reliability.
• Mentor staff and senior engineers, elevating architectural thinking through design reviews and documentation.

Good Fit If You Have

• Proven ability to influence without direct authority and build consensus across org boundaries.
• Strong communication skills for translating technical trade‑offs into business terms.
• Track record of delivering measurable business outcomes through technical leadership.