7 часов назад
Principal Software Engineer, AI
165 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer, AI (Knowledge Graphs/RAG): Designing and building the AI Context Layer, including knowledge graphs, RAG engines, retrieval infrastructure, APIs, and governance systems for enterprise AI agents with an accent on multi-tenant access control, data quality, and scalable developer interfaces. Focus on defining the platform architecture, optimizing retrieval relevance, securing fine-grained data access, and driving technical direction across multiple engineering and data teams.
Location: Remote - US
Salary: $165,000–$185,000 USD base pay annually
Company
and Clari are building an AI-powered Predictive Revenue System and enterprise revenue intelligence platform.
What you will do
- Own the technical vision and roadmap for the AI Context Layer, including knowledge graphs, RAG engines, and retrieval infrastructure.
- Partner with feature teams and data engineering to define data requirements and ensure reliable platform dependencies.
- Design access control and RBAC for multi-tenant data, agent identity, and fine-grained permissions.
- Define scalable APIs, SDKs, and developer interfaces for internal platform users.
- Lead architecture discussions, design and code reviews, and technical standards for data modeling, storage, retrieval, and governance.
- Drive platform adoption, documentation, onboarding, hiring, and delivery across multiple teams.
Requirements
- 12+ years of professional software engineering experience, focused on data-layer or search and retrieval infrastructure.
- Production experience designing knowledge graphs and/or large-scale retrieval and search systems.
- Deep expertise in RAG architectures, vector databases, embedding-based retrieval, evaluation, quality tuning, and relevance optimization.
- Strong understanding of access control and RBAC in multi-tenant, data-rich environments.
- Experience designing developer-facing APIs and SDKs, plus familiarity with data governance, lineage, and auditability.
- Experience with Python and/or Java and the ability to lead complex technical initiatives across engineering, product, data, and leadership.
Culture & Benefits
- Agile engineering environment focused on collaboration, adaptability, and continuous improvement.
- Inclusive workplace that values culture add and diverse perspectives.
- Compensation may include performance bonus, benefits, and other incentive compensation.
- AI tools may support parts of the hiring process; human judgment remains part of all hiring decisions.
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