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AI Engineer

Nebuly

Firenze

Remoto

EUR 50.000 - 70.000

Tempo pieno

11 giorni fa

Descrizione del lavoro

A pioneering AI startup is seeking an AI Engineer to oversee data labeling processes and fine-tune large language models using cloud GPUs. The ideal candidate will have strong Python skills, experience with deep learning frameworks like PyTorch, and knowledge of DevOps practices. This role offers competitive compensation and flexible remote work options. Join us in shaping the future of AI.

Servizi

Competitive salary
Stock options
Flexible working hours
Remote-friendly environment

Competenze

  • Experience in training large deep learning models on multiple GPUs.
  • Experience in NLP tasks crucial for this role.
  • Knowledge of CI/CD pipelines is beneficial.

Mansioni

  • Oversee data labeling and training data quality.
  • Fine-tune proprietary large language models on cloud GPUs.
  • Collaborate with software engineers for integration.

Conoscenze

Experience in training and evaluating Neural Networks
Professional experience in using Python
Knowledge of PostgreSQL
Experience with testing practices
Understanding of DevOps practices

Strumenti

PyTorch
HuggingFace Transformers
vLLM
SQLAlchemy
Pytest
Descrizione del lavoro
Overview

Join our mission Nebuly AI is a well-funded, fast-growing VC-backed startup in the emerging AI sector. Nebuly is not only pioneering but defining a new market category : LLMs user analytics. Recognizing the immense potential of Generative AI, we are ambitiously charting unexplored territories, crafting 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 is key to understand what LLM users like, what they don’t and why, what are the most asked questions and how you can create personalised LLMs responses to delight your customers. Despite our youthful journey, demand for our product is skyrocketing, and our robust funding ensures we\'re poised for strong growth. Our team is a collective of forward-thinkers, committed to transforming industries with revolutionary AI products. We offer not only very competitive salaries, but also the opportunity to shape the AI landscape. If you’re a skilled Python engineer with strong knowledge of AI systems, we want you.

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
Qualifications
  • Experience in training and evaluating Neural Networks, with a particular emphasis on NLP tasks.
  • 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.
  • Knowledge of PostgreSQL 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. You’ll have 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.
Selection process
  • The selection process at Nebuly typically includes introductory and role-focused steps to assess fit for the team and the work.
  • Introductory Call (30 min) with the hiring coordinator or the person who contacted you to learn more about you.
  • Conversation with Your Future Manager (30 min) covering day-to-day responsibilities and success metrics, including a possible technical interview for technical roles.
  • Logic Challenge (30 min) to assess approach to unfamiliar problems.
  • Behavioral Test (30 min): online assessment to understand working style and cultural fit.
  • Meeting the Co-founders (30 min) to discuss motivations and vision.
  • Role-Focused Project (2 hrs) with a flexible schedule to reflect the work you’d be doing.
  • Deep-Dive Technical Session (1 hr) for deeper technical discussion.
  • Offer: if it’s a match, we’ll discuss compensation and start date.
How to apply

Please submit your resume, along with any relevant code samples or GitHub repositories, showcasing your backend development skills.

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