
Principal Engineer - GenAI Applications & MLOps
Weave
Posted 2026-05-15
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Weave seeks a Principal Engineer to lead the design and delivery of AI‑powered applications and MLOps platforms. The role bridges advanced machine‑learning research with production‑grade, customer‑facing features for thousands of healthcare practices.
Role Snapshot
- Principal Engineer – GenAI & MLOps
- Technical leader for AI platform strategy
- Mentor for senior and staff engineers
- Owner of scalable ML infrastructure
- Cross‑team AI initiative driver
Must-Have Requirements
- MLOps & ML infrastructure
- Large Language Models (LLM), RAG, Prompt Engineering
- Distributed systems architecture
- Cloud‑native (GCP/AWS) & Kubernetes
- Scalable data stores (PostgreSQL, Vitess, Spanner, Bigtable, Redis)
- Observability & reliability engineering
- software engineering
- machine learning
- distributed systems
Nice-to-Have Signals
- Customer‑facing GenAI at scale
- Low‑latency high‑accuracy AI agents
- Compliance‑heavy environment experience (healthcare, fintech)
- External technical leadership (open source, speaking, writing)
- customer‑facing GenAI
- regulatory compliance
- fintech
Work Setup
- Location: United States
- Work mode: REMOTE
- Remote scope: COUNTRY_RESTRICTED
- Remote countries: United States
- Employment type: Full-Time
Eligibility Gates
- Work authorization: US‑based candidates
- Visa sponsorship: no
- Background check: required
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Travel
- Security clearance
- Coding test
What You'll Likely Work On
- Design and build scalable ML infrastructure, tooling, and services for internal and external AI products
- Translate product goals into engineering plans and deliver resilient data‑integration and event‑processing pipelines
- Consult product and development teams on ML patterns, data lifecycle, and trade‑offs
- Coach engineers across teams, raise technical standards, and lead architectural reviews
- Monitor AI industry trends, define strategic technical direction, and shape company‑wide engineering standards
- Mentor staff and senior engineers, fostering next‑generation technical leaders
Good Fit If You Have
- Proven ability to influence without direct authority and build consensus across org boundaries
- Track record delivering AI‑driven B2B multi‑tenant applications at scale
- Experience navigating compliance‑heavy domains such as healthcare or fintech
- Strong communication, documentation, and mentorship skills
Skills
- MLOps & ML infrastructure
- Large Language Models (LLM), RAG, Prompt Engineering
- Distributed systems architecture
- Cloud‑native (GCP/AWS) & Kubernetes
- Scalable data stores (PostgreSQL, Vitess, Spanner, Bigtable, Redis)
- Observability & reliability engineering
- Leadership & mentorship
Remote Eligibility
- United States
- US