2 часа назад
Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (AI): Building reliable, production-grade backend infrastructure and APIs for an AI-native operating system with an accent on distributed systems, enterprise reliability, and developer-facing services. Focus on designing scalable REST, gRPC, and event-driven architectures, optimizing latency and throughput, and operating systems in regulated government and enterprise environments.
Location: San Francisco Bay Area, United States; hybrid work arrangement
Company
builds AI-native operating systems for large, regulated institutions, powered by workflow-oriented agents and the proprietary Atlas platform.
What you will do
- Own backend systems end to end, including architecture, implementation, deployment, and long-term maintenance.
- Design modular APIs and backend architectures using REST, gRPC, and event-driven patterns for enterprise and government environments.
- Break down complex problems into technical designs and deliver production-ready systems.
- Improve latency, throughput, and cost efficiency through profiling and system design.
- Collaborate with Product, ML, Infrastructure, and customer-facing teams to build reliable and developer-friendly systems.
Requirements
- 3+ years of experience building production systems.
- Strong fundamentals in distributed systems, including consistency, availability, failure modes, retries, and idempotency.
- Deep proficiency in Go, TypeScript, Rust, Python, or a similar language.
- Experience designing shared infrastructure, internal platforms, or developer-facing services from first principles.
- Experience owning services with uptime responsibility, observability tooling, incident response, and APIs operated at scale.
Nice to have
- Experience with AI/ML platforms, inference systems, or data-intensive pipelines.
- Familiarity with Kubernetes and cloud-native deployment.
- Exposure to multi-tenant, regulated, or government environments.
- Experience with real-time or streaming data systems.
Culture & Benefits
- Work with experienced professionals from Tesla, DeepMind, Databricks, and other leading technology companies.
- Ownership and career acceleration based on impact rather than tenure.
- Competitive salary and meaningful equity.
- Daily lunches and commuter benefits.
- 401(k), medical, dental, and vision coverage.
- Unlimited paid time off.
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