Ai Engineer
Pubblicato il 22-10-2026 - Nebuly in Piemonte
About NebulyDi seguito, troverà un'analisi completa di tutti i requisiti per i potenziali candidati e le istruzioni su come candidarsi. In bocca al lupo!Nebuly is a fast-growing, VC-backed startup building the data and intelligence infrastructure for enterprise AI agents.Every enterprise function — sales, customer support, HR, finance — is deploying AI agents at scale. Every day, millions of conversations happen between employees and customers and these agents. Those conversations are the most valuable new data asset an enterprise produces — but they are unstructured, high-volume, and invisible without the right infrastructure.Nebuly plugs into the conversations flowing between users and enterprise AI agents, builds structured knowledge graphs from them, and surfaces the patterns that help leaders make decisions on adoption, quality, and ROI.Every new type of enterprise data has created a new category of software. CRM for customer interactions. Product analytics for user behavior. Nebuly is building that infrastructure layer for AI agent conversational data — a category that will touch every enterprise on the planet.Our customers include Vodafone, CNH, Oura, and others. Demand is accelerating fast — and we are building the team to match.What you’ll doThe AI team sits at the core of Nebuly’s product: every customer-facing insight — from taxonomy classification to failure detection to ROI estimation — is powered by the models and pipelines this team builds and operates. You’ll work closely with the Full Stack and Product teams to ship AI-driven features that go straight into production for enterprise customers, and you’ll be one of the people directly responsible for the accuracy, reliability, and scalability of Nebuly’s core AI systems.This is a hands-on role. Over just the last few weeks, the AI team has: extended the classification rules framework and taxonomy system to support multi-label classification, advanced user-group logic,
and configurable categories; shipped core pieces of our new ROI product (cost-per-hour-per-class mapping and trust scoring amongst others); improved PII model robustness; built out our MCP server and its discovery capabilities; stood up a unified automated testing framework for AI models and consolidated testing; worked on LLM inferenceefficiency (batch routing for prefix-cache hit rate, API token usage determinism, GPT model migrations); shipped a local/browserplugin to capture AI agent behavior (e.G. Claude, Cowork); improved classificationand data quality across accounts like Ferrari, Iveco, Fastweb, Oura, and Moncler.ResponsibilitiesDesign, train, and iterate on classification and taxonomy models (including multi-label classification and rule-based/LLM-based hybrids) that power Nebuly’s core productBuild and extend the ingestion and enrichment pipelines that process enterprise customer interaction data at scale, with attention to performance, cost, and reliabilityWork on our ROI product line: estimating human time saved, mapping cost per hour per class, and building the taxonomy and trust logic behind itImprove the robustness and performance of PII detection models, including evaluating alternative open-source LLMs and improving training dataContribute to and extend the MCP server and other AI-facing tooling used internally and by customersBuild and maintain a shared automated testing framework for evaluating models, datasets, and classification pipelinesInvestigate and fix model and data issues reported directly by enterprise customers, often under production time pressureWork on LLM inference efficiency: batching, caching, token usage, and model migrations as providers evolveRun PoCs and technical discovery for new AI-driven product capabilities,
from scoping to prototypeCollaborate closely with Product and Engineering to translate ambiguous product requests into shipped AI featuresParticipate in code and model reviews, and help raise the technical bar of the AI teamRequirementsMinimum 1-3 years of hands-on experience building and shipping ML/AI systems in productionStrong Python skills, including experience with data processing and ML/LLM pipelinesPractical 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 behaviour on live customer dataExperience with at least one of: PostgreSQL, ClickHouse, or similar data storesAbility to write tests and think rigorously about evaluation and validation of ML systemsStrong problem-solving skills and the autonomy to take a project from ambiguous discovery to shipped featureComfortable communicating directly with customers and other stakeholders, owning customer-facing issues and prioritising under pressureWhat we offerHigh-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. xysqume Competitive pay + equity + benefits. We offer a salary in the range of €50,000–€60,000 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#J-18808-Ljbffr