Graduate LLMOps Engineer - Remote

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.