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Pragmatike

Global remote technology talent

Staff AI Engineer

Full-Time
$200k - $400k/yr
Senior
Boston, MA, USA+5 moreMore locations: Seattle, WA, USA | San Francisco, CA, USA | Los Angeles, CA, USA | Sacramento, CA, USA | New York, NY, USA
Remote
AI & Machine LearningApplied Machine Learning

About the job

Requirements
  • At least 7 years of engineering or machine learning experience.
  • Deep Python and machine learning engineering expertise.
  • Strong production large language model experience.
  • Strong distributed systems and system design skills.
  • Experience optimizing inference systems.
Responsibilities
  • Lead architecture for production artificial intelligence systems.
  • Design model serving, inference, evaluation, and optimization pipelines.
  • Improve model latency, throughput, quality, and cost.
  • Lead technical artificial intelligence initiatives across multiple teams.
  • Establish engineering standards for artificial intelligence development and deployment.
  • Mentor artificial intelligence engineers.
  • Partner with Product and Engineering leadership on artificial intelligence strategy.
  • Evaluate emerging models and infrastructure technologies.
Desired Qualifications
  • Experience with vLLM, TGI, Triton, CUDA, or PyTorch.
  • Experience with Kubernetes and GPU infrastructure.
  • Experience with retrieval-augmented generation and fine-tuning.
  • Experience with AI agents.
  • Experience in high-scale AI production environments.

About the company

Pragmatike connects companies with remote technology professionals across international markets. It recruits for software engineering, data, product, design, infrastructure and related digital roles, helping employers identify specialists outside a single local talent pool. The company combines recruiter-led evaluation with a platform-oriented matching process and supports remote hiring across borders. Its identity is technology talent acquisition and workforce access rather than a software development agency delivering client projects itself. Its workforce brings together technical specialists, client delivery teams and business operations.

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