AI Engineer

Nebuly; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading analytics platform provider in Torino is seeking an AI Engineer to oversee data labeling and fine-tune large language models. You will ensure the quality of training datasets and collaborate with software engineers to integrate model outputs into the platform. Ideal candidates have experience in training deep learning models and proficiency in Python and frameworks like PyTorch. This role offers competitive compensation, stock options, and flexible working conditions.

Servizi

Competitive salary

Stock options

Flexible working hours

Competenze

• Experience in training large deep learning models on multiple GPUs.
• Professional experience in using Python and common deep learning frameworks such as PyTorch.
• Knowledge of PostgresSQL and experience in working with ORMs like SQLAlchemy.

Mansioni

• Oversee data labeling and training data quality.
• Fine-tune proprietary LLM models using cloud GPUs.
• Integrate the model outputs with the rest of the platform.

Conoscenze

Training large deep learning models

Python programming

Deep learning frameworks (PyTorch, HuggingFace, vLLM)

PostgresSQL

Unit testing

DevOps practices

Descrizione del lavoro

Join our mission

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. Nebuly changes that. We analyze real user‑AI conversations to help product and engineering teams:

• Understand user behavior at scale
• Identify what users don’t like or where the AI gets it wrong
• Build better, more personalized, and more useful AI assistants

Our customers include Fortune 500 and Global 2000 companies, and our product is used by the AI teams behind mission‑critical copilots and chatbots in sectors like finance, telco, and e-commerce.

Demand for Nebuly is accelerating fast—and we’re building a world‑class team to keep up.

Examples of your daily responsibilities

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. Your responsibilities will include:

• Oversight data labeling and training data quality
• Fine‑tune proprietary LLM models on cloud GPUs
• Integrate the model outputs with the rest of the platform
• Oversight on model output quality with both automatic tools and human supervision
• Develop PoCs for AI features and once completed integrate them into production

What we look for

• Experience in training large deep learning models on multiple GPUs
• Professional experience in using Python and common deep learning frameworks such as PyTorch, HuggingFace Transformers and vLLM
• Knowledge of PostgresSQL and experience in working with ORMs like SQLAlchemy
• 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

What we offer

High‑impact work in small, fast‑moving teams. At Nebuly, you’ll work in small, entrepreneurial teams with a high degree of ownership and autonomy. Regardless of your seniority, your contributions will have a direct impact—from the earliest ideas to product launch. You’ll have the chance to build things from scratch and see your code evolve into real products used at scale.

A platform for real growth. As more and more companies rely on our platform to understand and optimize their AI experiences, new challenges and opportunities emerge constantly. This means your role won’t stay static—you’ll keep growing with the product, facing new technical and strategic problems as we scale.

Competitive compensation & stock options. We offer a competitive salary, tailored to your experience and location. In addition, you’ll have access to stock options so you can share in the value we’re creating together.

Remote‑friendly & flexible. We believe great work doesn’t have to happen in a fixed place or on a fixed schedule. We’re remote‑friendly, offer flexible working hours, and support you in setting up the conditions to do your best work—wherever you are.

Please submit your resume at [e-mail], along with any relevant code samples or GitHub repositories, showcasing your backend development skills.