8 часов назад
Core Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Core Backend Engineer (AI): Building and operating backend services, data pipelines, and shared platform capabilities for production AI products with an accent on reliability, scalability, and regulated enterprise environments. Focus on designing distributed systems, ML experiment and evaluation infrastructure, high-throughput asynchronous workflows, and observable APIs that meet strict uptime and latency SLAs.
Location: San Francisco Bay Area, United States; hybrid
Salary: Competitive compensation plus equity
Company
builds AI-native operating systems for large, regulated institutions, powered by agent-based workflows and the proprietary Atlas platform.
What you will do
- Design, build, deploy, operate, and maintain backend services and data pipelines powering production AI products.
- Build scalable infrastructure for ML experiment tracking, artifact management, model registries, and automated training and evaluation.
- Engineer highly available, fault-tolerant systems with deep observability for demanding enterprise and government SLAs.
- Design modular architectures and clean REST and gRPC APIs while optimizing latency, throughput, and cloud compute costs.
- Partner with engineering, product, and ML research teams to create shared platform capabilities and reduce product delivery bottlenecks.
Requirements
- 3+ years of experience building and scaling production backend services or platforms.
- Strong experience with languages common in AI and data systems, such as Python, Go, Rust, or C++.
- Deep understanding of consistency, availability, distributed failure modes, and idempotency.
- Experience owning production services, designing for observability, and participating in on-call responsibilities.
- Ability to turn ambiguous problems into clear technical designs and production-ready systems.
- Strong focus on maintainable, well-documented APIs and shared platforms.
Nice to have
- Experience with MLflow, Weights & Biases, ClearML, Ray, Flyte, or Kubeflow.
- Experience designing high-throughput data pipelines and resilient asynchronous workflows with Temporal, Kafka, Spark, or Flink.
- Experience with SOC 2, FedRAMP, highly regulated, air-gapped, or on-premise environments.
Culture & Benefits
- Work with senior engineers from leading technology organizations.
- Production-focused environment with measurable customer impact.
- Competitive salary plus meaningful equity.
- Daily lunches and commuter benefits.
- 401(k), medical, dental, and vision coverage.
- Unlimited PTO.
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