Staff AI Inference Platform Engineer - Remote & Equity

Syllo

EUA

Teletrabalho

USD 190 000 - 230 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Health insurance
Equity

Resumo da oferta

Syllo is scaling its AI platform and seeks a Staff Software Engineer to lead the production inference stack. You will define architecture, evaluate technologies, and build systems that deploy, optimize, and monitor AI models in production.

In this hands-on role you will work with ML, infrastructure, and product teams to establish a robust, scalable foundation for AI model serving, while mentoring engineers and shaping the long-term AI infrastructure strategy.

Qualificações

  • Significant experience designing and operating production AI inference systems.
  • Experience building or leading production LLM serving infrastructure.
  • Proficiency with modern inference runtimes and frameworks (e.g., vLLM, TensorRT-LLM, Triton).
  • Strong background in distributed systems or high-performance platform engineering.
  • Experience optimizing inference performance (latency, throughput, memory, cost).
  • Experience operating GPU infrastructure in production.
  • Proficiency in Python and at least one systems language (Go, Rust, or C++).
  • Proven ability to lead technical architecture for complex infra initiatives.

Responsabilidades

  • Lead the design and development of the production inference platform.
  • Define the roadmap for inference infrastructure, model serving, and runtime optimization.
  • Build and operate scalable, cost-effective systems for serving large language models in production.
  • Evaluate and integrate modern inference technologies and runtimes.
  • Optimize latency, throughput, GPU utilization, memory efficiency, and costs.
  • Develop systems for model deployment, traffic routing, autoscaling, scheduling, and observability.
  • Partner with ML engineers to productionize new models and techniques.
  • Establish benchmarking methodologies to evaluate models and hardware.
  • Decide when to build internally vs. adopt open-source or commercial solutions.
  • Mentor engineers and define AI infra best practices.

Conhecimentos

LLM serving
Distributed systems
Python
Systems programming
Model deployment
Performance optimization
Production AI infra

Ferramentas

vLLM
SGLang
TensorRT-LLM
Triton Inference Server
Hugging Face TGI
NVIDIA Dynamo

Descrição da oferta de emprego

Syllo is scaling its AI platform and seeks a Staff Software Engineer to lead the production inference stack. You will define architecture, evaluate technologies, and build systems that deploy, optimize, and monitor AI models in production.

In this hands-on role you will work with ML, infrastructure, and product teams to establish a robust, scalable foundation for AI model serving, while mentoring engineers and shaping the long-term AI infrastructure strategy.

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