20 annunci per il ruolo di system engineer - torino, pie (recruiting in corso)

AI Engineer
Nebuly —Torino, Piemonte
- 50.000 € - 60.000 € all'anno
- Tempo pieno
- API
- Python
Candidatura rapida
12 giorni
AI Engineer
Altec —Torino, Piemonte
- 30.000 € - 35.000 € all'anno
- Laurea magistrale
- Machine learning
- Sviluppo software
Lead Autosar Software Engineer
KPIT Technologies GmbH —Torino, Piemonte
- Tempo pieno
- Laurea magistrale
- C++
- Laurea triennale
Junior Software Engineer (Data Processing)
Altec —Torino, Piemonte
- 30.000 € - 35.000 € all'anno
- Java
- Laurea magistrale
- SQL
Mechatronics Engineer (Kinetic Installations/Art)
Leva —Torino, Piemonte
- 30.000 € - 50.000 € all'anno
- Tempo pieno
- CAD
- Inglese
Candidatura rapida
Quality Support Engineer
Enginium srl —Torino, Piemonte
- 28.000 € - 31.000 € all'anno
- Microsoft Excel
- Competenze analitiche
- Lavoro da casa
Candidatura rapida
Field Service Engineer
MSC TECHNOLOGY ITALIA SRL —Torino, Piemonte
- Gestionale
- Ingegneria
- Inglese
Candidatura rapida
VEL - Analista e progettista di sistemi di controllo del volo
Leonardo SpA —Torino, Piemonte
- Inglese
- Microsoft Office
- Laurea magistrale
Candidatura rapida
Project Controller
MBDA —Torino, Piemonte
- Tempo pieno
- Inglese
- Microsoft Office
- Project management
Design Engineer
Segula Technologies —Torino, Piemonte
- 30.000 € - 38.000 € all'anno
- Tempo pieno
- Gestionale
- CAD
- Inglese
Candidatura rapida
Engagement Manager - System Engineering
Capgemini —Torino, Piemonte
- PMP
- Inglese
- Competenze analitiche
Simulation Engineer
Gamma Technologies —Torino, Piemonte
- 29.000 € - 31.500 € all'anno
- Dottorato di ricerca
- Inglese
- Laurea magistrale
IT Network Operation Center Specialist
MSC TECHNOLOGY ITALIA SRL —Torino, Piemonte
- Tempo pieno
- Azure
- Gestionale
- Servizio clienti
Candidatura rapida
Senior Safety Critical Systems Engineer
Capgemini Sogeti —Torino, Piemonte
- 35.057 € - 57.475 € all'anno
- Inglese
- Laurea magistrale
- In presenza
Motorsport R&D Hardware Electronics Senior Engineer - ECU & VCU
Marelli —Venaria Reale, Piemonte
- 35.000 € - 55.000 € all'anno
- Inglese
13 giorni
VEL - Modeling and Simulation Aeromechanic specialist
Leonardo SpA —Torino, Piemonte
- 32.731,92 € - 43.000,00 € all'anno
- Inglese
- Windows
- Microsoft Office
Candidatura rapida
Test Automation
BIT spa —Torino, Piemonte
- 23.375,72 € - 36.000,00 € all'anno
- Oracle
- PMP
- DevOps
- Lavoro da casa
Candidatura rapida
Enterprise Systems Principal Engineer
The Exploration Company —Torino, Piemonte
- 66.500 € - 130.000 € all'anno
- Tempo pieno
- Sistemi ERP
- SQL
- Produzione
Platform System Engineer
Sii —Torino, Piemonte
- Inglese
- Laurea magistrale
- Agile
Consultant - Tech Risk | Torino
KPMG —Torino, Piemonte
- 28.000 € - 31.500 € all'anno
- Informatica
- Inglese
- Laurea magistrale

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AI Engineer

Nebuly
Torino, Piemonte

Candidatura rapida

Dettagli della posizione

Tempo pieno
50.000 € - 60.000 € all'anno
12 giorni fa

Benefit

Stock options

Qualifiche

PostgreSQL
API
Python
Debugging

Descrizione completa della posizione

About Nebuly

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 do

The 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 inference efficiency (batch routing for prefix-cache hit rate, API token usage determinism, GPT model migrations); shipped a local/browser plugin to capture AI agent behavior (e.g. Claude, Cowork); improved classification and data quality across accounts like Ferrari, Iveco, Fastweb, Oura, and Moncler.

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 behaviour 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 prioritising 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–€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

Compensation Range: €50K - €60K

Candidatura rapida

Perfeziona la tua ricerca

system engineer offerte - torino, pie

AI Engineer

AI Engineer

Lead Autosar Software Engineer

Junior Software Engineer (Data Processing)

Mechatronics Engineer (Kinetic Installations/Art)

Quality Support Engineer

Field Service Engineer

VEL - Analista e progettista di sistemi di controllo del volo

Project Controller

Design Engineer

Engagement Manager - System Engineering

Simulation Engineer

IT Network Operation Center Specialist

Senior Safety Critical Systems Engineer

Motorsport R&D Hardware Electronics Senior Engineer - ECU & VCU

VEL - Modeling and Simulation Aeromechanic specialist

Test Automation

Enterprise Systems Principal Engineer

Platform System Engineer

Consultant - Tech Risk | Torino

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di system engineer nella seguente località: torino, pie

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