Staff GenAI Engineer

What You Will Own

Infrastructure & Delivery

• 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.

Cross-Team Problem Solving

• 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.

Strategic Technical Leadership

• 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.

Mentorship & Organisational Capability

• 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 organisational capability that persists beyond your individual contributions

What You Will Need to Accomplish the Job

• 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

• 15+ 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 organisational boundaries, and translate technical tradeoffs into business terms

What Will Make Us Love You

• Expertise with customer-facing GenAI at scale, in production

• Expertise building low-latency, high-accuracy AI Agents

• Audio or Voice GenAI in Production at scale: Mandatory deep experience delivering meaningful voice/audio solutions to external products (confirming "been there, done that" experience, not aspirational)

• Background in compliance-heavy environments (healthcare, fintech) with experience navigating regulatory requirements in technical design

• History of external technical leadership: open source contributions, conference speaking, or published technical writing

• Strong opinions, loosely held—you bring conviction to technical discussions while remaining genuinely open to better ideas

Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws.

At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria.

Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported.