5 дней назад
Staff Backend Engineer (AI/Data)
225 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Backend Engineer (AI/Data): Building scalable, fault-tolerant metadata ingestion systems, connector APIs, event-driven processing, and versioning for AI assets with an accent on distributed systems, data integration, and enterprise-scale reliability. Focus on designing high-throughput online services, schema mapping across diverse systems, monitoring and alerting, and developing scalable LLM-powered capabilities.
Location: Bay Area, hybrid, with 3 days per week in the Palo Alto office
Salary: $225,000–$300,000 per year
Company
provides an AI and data context platform with an open-source metadata graph and a managed SaaS offering for AI-powered discovery, observability, and governance.
What you will do
- Lead development of the platform framework connecting diverse data systems and powering metadata collection.
- Build scalable, fault-tolerant ingestion systems for enterprise-scale metadata.
- Design intuitive APIs for the connector ecosystem and event-driven architectures for real-time metadata processing.
- Develop schema mapping between source systems and 's unified model.
- Build versioning systems for AI assets, including training data, model weights, and embeddings.
- Design and scale online services, indexing, storage, monitoring, and data architectures for live traffic.
Requirements
- 8+ years of experience building production-grade distributed systems.
- Advanced Python and API design expertise.
- Strong systems knowledge and experience with distributed architecture, high-scale data processing, or integration frameworks.
- Experience building online applications serving live traffic at 100+ QPS, including monitoring and alerting.
- Experience designing indexing, storage, and data architectures for large-scale online services.
- Hands-on experience developing with LLMs and applying scalable LLM development practices.
Nice to have
- Strong experience with one of Java, Scala, Kotlin, C#, or Go.
- Experience with TypeScript, Node, , Airflow, Airbyte, or dbt.
- Open-source contributions and early-stage startup experience.
- Experience building live services that call LLMs or fine-tuning LLM-powered applications.
Culture & Benefits
- Hybrid work with support for home offices, coworking spaces, and a monthly coworking stipend.
- Medical, dental, and vision coverage, including dependent coverage.
- FSA and Dependent Care FSA options.
- Equity for every team member.
- Unlimited paid time off and sick leave.
- Work on enterprise AI infrastructure used by thousands of organizations.
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