Jobs · Engineering

Staff AI Engineer

Pragmatike · Los Angeles, CA · 2 mo ago
RemoteRemoteEngineering$200k–$350k/yrFull-time

Location: United States — Remote

Type: Full-time

About The Opportunity

Pragmatike is recruiting on behalf of a fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. We are seeking a Staff AI Engineer to lead the design and deployment of production AI systems at scale.

Responsibilities

  • Lead architecture for production AI systems.
  • Design model serving, inference, evaluation, and optimization pipelines.
  • Improve model latency, throughput, quality, and cost.
  • Lead technical AI initiatives across multiple teams.
  • Establish engineering standards for AI development and deployment.
  • Mentor AI engineers.
  • Partner with Product and Engineering leadership on AI strategy.
  • Evaluate emerging models and infrastructure technologies.

Requirements

  • 7+ years of engineering or ML experience.
  • Deep Python and ML engineering expertise.
  • Strong production LLM experience.
  • Strong distributed systems and system design skills.
  • Experience optimizing inference systems.
  • Strong technical leadership and communication.

Nice to Have

  • vLLM, TGI, Triton, CUDA, PyTorch.
  • Kubernetes and GPU infrastructure.
  • RAG and fine-tuning.
  • AI agents.
  • High-scale AI production environments.

Benefits

  • Full benefit package.
  • Competitive compensation: $200,000–$350,000 USD.

About the Company

Our client is building highly scalable technology that sits at the core of critical business operations, offering engineers the opportunity to work on complex systems, large-scale integrations, and real-world technical challenges. You'll join a collaborative, fast-moving environment where ownership is encouraged, decisions are made quickly, and engineers have meaningful influence on architecture, product direction, and engineering culture. This role offers the opportunity to tackle challenging backend problems, work with modern technologies, and grow alongside an ambitious team building for scale.

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