Principal Engineer - GenAI Applications & MLOps
Weave · United States
- Hybrid
- Full-time
- $200,000 / year
- United States
Job highlights
- Lead AI innovation and build GenAI applications.
- Design scalable ML infrastructure and platforms.
- Consult on ML patterns and technical strategy.
- Mentor engineers and elevate technical standards.
- Drive architectural coherence and strategic initiatives.
About the role
Principal Engineer - GenAI Applications & MLOps
Weave is looking for a Principal Engineer to join the Machine Learning Team, where you will be at the forefront of enabling product innovation and building AI-powered applications. In this role, you will help design how teams across Weave build out AI-powered features, serving as a technical leader who bridges the gap between sophisticated machine learning and practical, customer-facing products.
As a technical cornerstone, you will design the platforms that allow our engineering organization to incorporate AI into their features seamlessly. Your success is measured by the scalability of our ML infrastructure and the ability of our product teams to deliver world-class, AI-driven experiences to 30,000+ healthcare practices. This is a strategic leadership position requiring deep expertise in MLOps and GenAI. You will consult with teams on common ML patterns and tradeoffs, ensuring that our technical strategy for data and intelligence positions Weave as a leader in the healthcare communication space.
Team Info
The Messaging Fellowship encompasses multiple engineering teams responsible for Weave's core communication capabilities—appointment reminders, review requests, missed-call texts, two-way messaging, and the infrastructure that delivers billions of messages reliably at scale. You will work across these teams as a technical leader, partnering with Engineering Managers, Staff Engineers, and cross-functional stakeholders to drive architectural coherence and strategic technical initiatives.
This position is remote (US-based).
Reports to: Sr Director of Engineering
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 & Organizational 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 organizational capability that persists beyond your individual contributions
What You Will Need to Accomplish the Job
- 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
What Will Make Us Love You
- Expertise with customer facing GenAI at scale, in production
- Expertise building low latency high accuracy AI Agents
- 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. For additional information, please review the External AI Policy Statement available on our Careers page.
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.
Key skills/competency
- GenAI
- MLOps
- Machine Learning
- Distributed Systems
- Cloud Infrastructure
- Kubernetes
- LLMs
- RAG
- Prompt Engineering
- Technical Leadership
Skills & topics
- Principal Engineer
- GenAI
- MLOps
- Machine Learning
- AI Applications
- LLM
- RAG
- Cloud Engineering
- Distributed Systems
- Technical Leadership
- GCP
- AWS
- Kubernetes
How to get hired
- Tailor your resume: Highlight your 12+ years of technical leadership and 8+ years in ML/AI, emphasizing GenAI and MLOps experience.
- Showcase production experience: Detail your work on B2B multi-tenant AI applications and distributed systems at scale.
- Demonstrate strategic impact: Provide examples of leading cross-team initiatives and translating technical tradeoffs into business value.
- Prepare for technical depth: Be ready to discuss your expertise in LLMs, RAG, cloud-native infrastructure (GCP/AWS), and scalable data stores.
- Understand Weave's mission: Research their impact on healthcare communication and how AI drives their customer experience.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Principal Engineer - GenAI Applications & MLOps at Weave?
- As a Principal Engineer at Weave, you will be responsible for designing and developing ML infrastructure and AI-powered applications. This includes building platforms for engineering teams to incorporate AI features, consulting on ML patterns, leading cross-team technical initiatives, and mentoring other engineers. Your role is crucial in driving Weave's technical strategy in AI and MLOps.
- What level of experience is required for this Principal Engineer role at Weave?
- Weave requires a Principal Engineer to have at least 12 years of software engineering experience with progressive technical leadership scope. Additionally, you'll need 8+ years of experience in Machine Learning or AI, with a strong emphasis on GenAI and MLOps.
- Is this Principal Engineer position remote, and if so, where?
- Yes, this Principal Engineer position is fully remote and is specifically for candidates based in the United States.
- What specific GenAI and MLOps skills are most important for this role at Weave?
- Key skills include expertise in LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, and multi-modal models. A strong understanding of MLOps principles, distributed systems architecture, cloud-native infrastructure (GCP/AWS), and scalable data stores is also critical for success in this role at Weave.
- How does Weave use AI in its hiring process?
- Weave utilizes AI tools to enhance efficiency and the candidate experience. AI may assist in tasks such as drafting job descriptions, scheduling interviews, and evaluating applications against job requirements. More details can be found in their External AI Policy Statement on their Careers page.
- What kind of technical leadership is expected from a Principal Engineer at Weave?
- The role demands strategic technical leadership, including monitoring industry trends, identifying genuine strategic value in new technologies, and shaping company-wide engineering standards. You'll also mentor other engineers and elevate architectural thinking across teams.
- What is the company culture like at Weave regarding innovation and technical growth?
- Weave emphasizes fostering an inclusive workplace where individuals are valued and supported. They encourage those who are hungry to learn, problem-solve, and progress. The Principal Engineer role is central to driving innovation in AI and MLOps, indicating a culture that embraces technological advancement.