About the Position

AI Engineer

About Nebuly

Nebuly is a fast-growing, VC-backed startup building the data and intelligence infrastructure for enterprise AI agents. Our mission is to plug into the conversations flowing between users and enterprise AI agents, build structured knowledge graphs from them, and surface the patterns that help leaders make decisions on adoption, quality, and ROI.

Our customers include Vodafone, CNH, Oura, and others. Demand is accelerating fast - and we are building the team to match.

Responsibilities

Design, train, and iterate on classification and taxonomy models (including multi-label classification and rule-based/LLM-based hybrids) that power Nebuly's core product.
Build and extend the ingestion and enrichment pipelines that process enterprise customer interaction data at scale, with attention to performance, cost, and reliability.
Work on our ROI product line: estimating human time saved, mapping cost per hour per class, and building the taxonomy and trust logic behind it.
Improve the robustness and performance of PII detection models, including evaluating alternative open-source LLMs and improving training data.
Contribute to and extend the MCP server and other AI-facing tooling used internally and by customers.
Build and maintain a shared automated testing framework for evaluating models, datasets, and classification pipelines.
Investigate and fix model and data issues reported directly by enterprise customers, often under production time pressure.
Work on LLM inference efficiency: batching, caching, token usage, and model migrations as providers evolve.
Run PoCs and technical discovery for new AI-driven product capabilities, from scoping to prototype.
Collaborate closely with Product and Engineering to translate ambiguous product requests into shipped AI features.
Participate in code and model reviews, and help raise the technical bar of the AI team.

Requirements

Minimum 1-3 years of hands-on experience building and shipping ML/AI systems in production.
Strong Python skills, including experience with data processing and ML/LLM pipelines.
Practical experience with classification systems (traditional ML and/or LLM-based approaches, prompt-based or fine-tuned).
Comfort working with messy, real-world data and debugging model behavior on live customer data.
Experience with at least one of: PostgreSQL, ClickHouse, or similar data stores.
Ability to write tests and think rigorously about evaluation and validation of ML systems.
Strong problem-solving skills and the autonomy to take a project from ambiguous discovery to shipped feature.
Comfortable communicating directly with customers and other stakeholders, owning customer-facing issues and prioritizing under pressure.

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 pay + equity + benefits. We offer a salary in the range of €50,000–€72,000 gross per year, depending on the outcome of the technical interview, plus meal vouchers worth up to €2,400/year and meaningful stock options in a fast-scaling company.

Location

Turin, Italy

Employment Type

Full time

Compensation

Base Salary €50K – €72K
Offers Equity
Offers Bonus

AI Engineer

Job description