LLM Platform Engineer
WhatNotFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position as Docker operates a remote-first team.
The role requires 3+ years of hands-on experience with machine learning models, particularly LLMs, practical experience with RAG systems, model training and fine-tuning, experience designing AI evaluation frameworks, proficiency in Go and Python, and experience with AI frameworks like LangChain/LangGraph.
This information is not specified in the job description.
Docker has a remote-first team spanning the globe, united by a passion for innovation and great developer experiences.
Strong candidates will have 3+ years of AI/ML expertise with LLMs, experience building RAG systems and fine-tuning models, proficiency in Go and Python, familiarity with AI frameworks like LangChain, and preferably experience with containerization technologies like Docker or Kubernetes.
Containerization platform for application development
Docker offers a containerization platform that enables developers to build, share, and run applications in isolated environments called containers. These containers package applications with their dependencies, ensuring consistent performance across different stages of development and deployment. Docker stands out from competitors by simplifying the development process and enhancing collaboration, with a freemium business model that includes various subscription tiers and services like Docker Hub and Docker Desktop. The company's goal is to streamline software development and deployment, making it easier for developers to manage applications efficiently.