AI Engineer

Nebuly; Roma; Ibrido; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading AI startup located in Roma seeks a skilled AI Engineer to oversee data labeling, fine-tune LLMs on cloud GPUs, and integrate model outputs. Applicants should have proficiency in Python, experience with deep learning models, and knowledge of NLP tasks. The position offers competitive compensation, remote-friendly options, and the chance to impact AI developments directly.

Servizi

Competitive salary

Stock options

Remote-friendly work environment

Flexible working hours

Competenze

• Experience in training and evaluating large deep learning models on multiple GPUs.
• Strong AI system knowledge with an emphasis on NLP tasks.
• Experience with testing frameworks and cloud GPUs.

Mansioni

• Oversee data labeling and training data quality.
• Fine-tune proprietary LLM models on cloud GPUs.
• Integrate model outputs with the platform.
• Monitor model output quality with automatic tools.
• Develop PoCs for AI features and integrate into production.

Conoscenze

Training and evaluating Neural Networks

NLP tasks

Proficiency in Python

PyTorch

HuggingFace Transformers

PostgreSQL

SQLAlchemy

Testing frameworks (e.g. Pytest)

DevOps practices

CI/CD pipelines

Descrizione del lavoro

Join our mission! Nebuly AI is a well-funded, fast-growing VC-backed startup in the emerging AI sector. Nebuly is pioneering and defining a new market category: LLMs user analytics. Recognizing the immense potential of Generative AI, we are charting unexplored territories and creating a unique niche that no company has ventured into before. Thanks to Nebuly, companies can automatically capture how users interact with their LLM-powered chatbots/agents. Our platform helps understand user preferences, common questions, and enables personalized LLM responses to enhance customer satisfaction. Despite our youth, demand for our product is skyrocketing, and our robust funding positions us for strong growth. Our team comprises forward-thinkers committed to transforming industries with revolutionary AI products. We offer competitive salaries and the opportunity to shape the AI landscape. If you’re a skilled Python engineer with strong AI system knowledge, we want you.

Examples of your daily responsibilities: As an AI Engineer, you will oversee data labeling processes, ensure training data quality, fine-tune proprietary large language models (LLMs) on cloud GPUs, and integrate model outputs into our platform. You will collaborate closely with software engineers to ensure robust deployment and optimal functionality. Your responsibilities will include:

1. Overseeing data labeling and training data quality
2. Fine-tuning proprietary LLM models on cloud GPUs
3. Integrating model outputs with the platform
4. Monitoring model output quality with automatic tools and human supervision
5. Developing PoCs for AI features and integrating them into production

What we look for: Experience in training and evaluating Neural Networks, especially NLP tasks. Experience in training large deep learning models on multiple GPUs. Proficiency in Python and frameworks like PyTorch, HuggingFace Transformers, and vLLM. Knowledge of PostgreSQL and ORMs like SQLAlchemy. Experience with testing frameworks such as Pytest. Understanding of DevOps practices and CI/CD pipelines.

What we offer: High-impact work in small, fast-moving teams. You’ll work with high ownership and autonomy, contributing from ideas to product launch. Opportunities to build from scratch and see your code used at scale. As we grow, so will your role, facing new challenges. Competitive salary and stock options. Remote-friendly and flexible working hours, supporting your best work environment wherever you are.

The selection process: Our hiring process typically includes:

• Introductory Call (30 min): An informal chat to learn about you and your interests.
• Conversation with Your Future Manager (30 min): Deep dive into the role, responsibilities, and a technical or coding interview.
• Logic Challenge (30 min): Unfamiliar problem-solving assessment.
• Behavioral Test (30 min): An online assessment to understand your working style and cultural fit.
• Meeting the Co-founders (30 min): Discuss your motivations and career goals.
• Role-Focused Project (2 hrs): A practical project reflecting your potential work.
• Deep-Dive Technical Session (1 hr): Further technical evaluation.

If successful, we’ll extend an offer detailing compensation, start date, and next steps. Please submit your resume and any relevant code samples or GitHub repositories showcasing your backend development skills.