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Graduate LLMOps Engineer - Remote

Posted Yesterday

Overview

As a Graduate LLMOps Engineer, you will not only gain general software engineering experience but also learn how to effectively integrate the latest generative AI technologies in a commercial setting. You’ll work with industry-leading tools, including AWS Bedrock, OpenAI, Claude Sonnet 3.7, and the Amazon Nova LLM family. You’ll also explore techniques like Retrieval-Augmented Generation (RAG) and GraphDBs while leveraging modern Python frameworks to orchestrate LLM usage.

In Short

  • Operate large language models (LLMs) from leading providers.
  • Build tools for accessing and utilizing LLM technologies, including CI/CD pipelines, monitoring systems, and automation.
  • Learn how products are built and collaborate with product teams to apply generative AI to real-world problems.

Requirements

  • Proficiency in Python 3 and experience with frameworks such as FastAPI, Falcon, or Flask.
  • A solid understanding of what LLMs are - and what they are not.
  • A general grasp of the opportunities generative AI presents in today’s world.
  • Eagerness to learn and adapt.
  • A problem-solving mindset, with the ability to seek help when needed.

Benefits

  • A cohesive, fun, inclusive and supportive team environment.
  • From day one, you'll have the opportunity to engage with our fast-paced, innovative teams and make meaningful contributions.
  • A good work-life balance with access to resources for physical, mental, financial, and social wellbeing.
  • Exclusive LinkedIn Learning license offering unlimited access to training courses.
  • An extra day off to celebrate your birthday.

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