Senior AI Inference Systems Engineer (Equity)

Emploive

San Francisco (CA)

On-site

USD 230,000 - 390,000

Full time

18 hours ago
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Benefits offered by this job

Flexible PTO
Medical, dental, vision benefits
Retirement plan
Parental leave
Equity plans
Free snacks and beverages

Job summary

Sierra is the leading platform for customer-facing AI agents, based in San Francisco with offices across North America, Europe, and Asia. We are seeking a Software Engineer on the Inference team to shape architecture for self-hosted and third-party inference, focusing on low latency, reliability, and cost.

You'll partner with frontier labs and providers, build scalable serving layers, and operate GPU-based inference infrastructure in a systems-first role at the intersection of distributed infra

Qualifications

  • Deep systems thinking and distributed systems fundamentals.
  • Experience designing, building, and operating large-scale production systems.
  • Strong judgment around latency, reliability, capacity, and cost tradeoffs.
  • Experience owning complex infrastructure from architecture through production.

Responsibilities

  • Partner with frontier labs and providers to supply capacity and infrastructure.
  • Shape inference architecture and traffic flow across models and providers.
  • Build for low latency, high reliability with routing and quota management.
  • Operate self-hosted inference on GPU infrastructure and containers.
  • Collaborate with Applied Research for latency and cost optimizations.
  • Work across hybrid inference stack and Sierra-managed infra.
  • Push serving stack forward with providers to tune engines.
  • Support broader model lifecycle with Model and Agent Runtime teams.

Skills

Deep systems thinking
Distributed systems
Production systems ownership
Latency/reliability tradeoffs
Infra capacity management

Tools

vLLM
SGLang

Job description

Sierra is the leading platform for customer-facing AI agents, based in San Francisco with offices across North America, Europe, and Asia. We are seeking a Software Engineer on the Inference team to shape architecture for self-hosted and third-party inference, focusing on low latency, reliability, and cost.

You'll partner with frontier labs and providers, build scalable serving layers, and operate GPU-based inference infrastructure in a systems-first role at the intersection of distributed infra

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