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AI Infrastructure Engineer
1 month ago
About Writer
We are a leading provider of transformative AI solutions for enterprises, empowering hundreds of customers like Accenture, Intuit, L'Oreal, and Vanguard to revolutionize their workflows.
Our all-in-one platform makes it easy to deploy customized AI apps and workflows that accelerate growth, increase productivity, and ensure compliance. We provide enterprise-grade accuracy, security, and efficiency through our suite of development tools supported by Palmyra – our state-of-the-art family of LLMs – alongside our industry-leading graph-based RAG and customizable AI guardrails.
About this roleAs an AI Infrastructure Engineer, you will be responsible for deploying and managing cutting-edge infrastructure crucial for AI/ML operations. You will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs.
This role demands a proactive approach to maintaining large Kubernetes clusters, optimizing system performance, and providing operational support for our suite of software solutions. Some key responsibilities include:
- Designing and deploying a CI/CD pipeline that ensures safe and reproducible experiments
- Setting up and managing monitoring, logging, and alerting systems for extensive training runs and client-facing APIs
- Ensuring training environments are consistently available and prepared across multiple clusters
- Improving reliability, quality, and time-to-market of our suite of software solutions
- Measuring and optimizing system performance
- Providing primary operational support and engineering for multiple large-scale distributed software applications
We are looking for someone with professional experience in the following areas:
- Model training
- Huggingface Transformers
- Pytorch
- vLLM
- TensorRT
- Infrastructure as code tools like Terraform
- Scripting languages such as Python or Bash
- Cloud platforms such as Google Cloud, AWS or Azure
- Git and GitHub workflows
- Tracing and Monitoring
Familiarity with high-performance, large-scale ML systems is also essential. You should have a knack for troubleshooting complex systems and enjoy solving challenging problems. Proactive identification of problems, performance bottlenecks, and areas for improvement is also required.
We offer a competitive salary of $150,000 - $180,000 per year, depending on experience, plus benefits including generous PTO, medical, dental, and vision coverage, paid parental leave, fertility and family planning support, and annual work-life stipends for home office setup, cell phone, internet, wellness, and learning and development.
