1 день назад
Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (Go/AI): Building the APIs, services, and data systems that transform AI evaluation results into enterprise-ready products with an accent on low-latency APIs and scalable data architecture. Focus on developing usage metering, billing integration, and multi-tenant access systems for frontier AI models.
Location: Hybrid (Bay Area, USA)
Company
is a platform for evaluating how AI models perform in the real world, founded by researchers from UC Berkeley's SkyLab.
What you will do
- Design and ship low-latency, high-reliability APIs and services for Leaderboards and data products.
- Transform novel evaluation methods into durable products, including scoring pipelines and data models.
- Implement enterprise-grade backend features such as usage metering, RBAC, multi-tenancy, and audit logging.
- Own the data architecture to ensure evaluation data is queryable, consistent, and fast.
- Collaborate with infrastructure engineers and researchers to unify public and private data architectures.
Requirements
- 5+ years of backend engineering experience building product-facing APIs and data systems at scale.
- Strong proficiency in Go (preferred) and expertise in API design.
- Solid fundamentals in Postgres, Redis, and message queues.
- Experience integrating payments, authentication, and data pipelines into coherent products.
- Must be based in the Bay Area for a hybrid work arrangement.
Nice to have
- Experience with LLM provider APIs (OpenAI, Anthropic, Google) including streaming and token accounting.
- Background in ML infrastructure, model serving, or evaluation frameworks.
- Experience with SSO, RBAC, and billing infrastructure (e.g., Stripe, Metronome, Orb).
- Familiarity with the modern AI stack (vLLM, LiteLLM, LangChain).
Culture & Benefits
- Competitive compensation and equity aligned to market rates.
- Comprehensive health, dental, and vision insurance.
- Opportunity to work on cutting-edge AI within a small, mission-driven team.
- Culture that values transparency, trust, and craftsmanship over hierarchy.
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