Technisch engineer.

Nebuly is a fast-growing, VC-backed startup building the world’s first user analytics platform for LLMs .
Every day, millions of users interact with AI copilots and assistants—but most companies have no idea what these users are actually asking, where they get stuck, or what makes them churn. We analyze real user-AI conversations to help product and engineering teams:
Identify what users don’t like or where the AI gets it wrong
As an AI Engineer, you will oversee data labeling processes and ensure the quality and consistency of training datasets critical to model performance. You will fine-tune proprietary large language models (LLMs) utilizing cloud-based GPU infrastructure, optimizing model accuracy and efficiency for specific business applications. Additionally, you’ll be responsible for integrating model outputs seamlessly into the broader platform, collaborating closely with software engineers to ensure robust deployment and optimal functionality. Oversight data labeling and training data quality
Fine-tune proprietary LLM models on cloud GPUs
Oversight on model output quality with both automatic tools and human supervision
Experience in training large deep learning models on multiple GPUs
Professional experience in using Python and common deep learning frameworks as PyTorch, HuggingFace Transformers and vLLM.
Experience with testing practices and frameworks, such as unit testing, integration testing, and end-to-end testing, using libraries like Pytest.
Understanding of DevOps practices and CI/CD pipelines.

Regardless of your seniority, your contributions will have a direct impact—from the earliest ideas to product launch. Remote-friendly & flexible. We’re remote-friendly, offer flexible working hours, and support you in setting up the conditions to do your best work—wherever you are.