20 annunci per il ruolo di ai platform 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
Gen AI Engineer
M.C. Engineering Srl —Torino, Piemonte
- 25.000 € - 40.000 € all'anno
- Tempo pieno
- Remoto
- Azure
- Inglese
- Database
Candidatura rapida
Senior AI Engineer - Individual Productivity Tools
Intesa Sanpaolo Group —Torino, Piemonte
- Da 50.000 € all'anno
- Informatica
- Laurea magistrale
- SQL
- Assicurazione sanitaria
AI Platform Engineer
M.C. Engineering Srl —Torino, Piemonte
- 25.000 € - 40.000 € al mese
- Tempo pieno
- Azure
- DevOps
- Inglese
Candidatura rapida
Integration to Platform System Engineer
MBDA —Torino, Piemonte
- Tempo pieno
- Informatica
- Inglese
- Competenze analitiche
Artificial Intelligence Engineer
MSC TECHNOLOGY ITALIA SRL —Torino, Piemonte
- Azure
- DevOps
- Inglese
Candidatura rapida
Front-End Software Engineer | Vesper
Deltatre —Torino, Piemonte
- 30.000 € - 90.000 € all'anno
- Remoto
- AWS
- JavaScript
- Agile
Candidatura rapida
AI Automation Engineer
M.C. Engineering Srl —Torino, Piemonte
- 25.000 € - 40.000 € al mese
- Tempo pieno
- Azure
- Inglese
- AWS
Candidatura rapida
VEL - Ground Support Systems AI Specialist
Leonardo SpA —Torino, Piemonte
- 32.731,92 € - 43.000,00 € all'anno
- Oracle
- Informatica
- Inglese
Candidatura rapida
Agentic AI Engineer - AI Native Software Engineering
Capgemini —Torino, Piemonte
- 35.057 € - 57.475 € all'anno
- Azure
- DevOps
- Java
Full-stack Engineer
TuoTempo —Torino, Piemonte
- Tempo pieno
- Remoto
- Azure
- Inglese
- Java
Candidatura rapida
Full-stack Engineer
Nebuly —Torino, Piemonte
- 50.000 € - 60.000 € all'anno
- Tempo pieno
- API
- Python
- HTML
Candidatura rapida
Avionic System Engineer
TXT e-solutions SPA —Torino, Piemonte
- 27.000 € - 31.000 € all'anno
- Gestionale
- Ingegneria
- Inglese
Candidatura rapida
Research Engineer
Ecosmic —Torino, Piemonte
- 36.000 € - 48.000 € all'anno
- Tempo pieno
- Remoto
- Informatica
- Ingegneria
- Inglese
Logistic Chief Engineer Fighters & Uav
Leonardo SpA —Torino, Piemonte
- 32.731,92 € - 43.000,00 € all'anno
- Inglese
- Microsoft Office
- Competenze analitiche
Candidatura rapida
Simulation Engineer
Gamma Technologies —Torino, Piemonte
- 29.000 € - 31.500 € all'anno
- Dottorato di ricerca
- Inglese
- Laurea magistrale
Cloud Platform Specialist
Italdesign —Moncalieri, Piemonte
- Remoto
- Informatica
- Azure
- DevOps
Candidatura rapida
Platform System Engineer
Sii —Torino, Piemonte
- Inglese
- Laurea magistrale
- Agile
Building automation commissioning and service engineer - Turin
Siemens —Torino, Piemonte
- Tempo pieno
- Remoto
- Informatica
- Inglese
- Windows
- Assicurazione sanitaria
AI Architect
M.C. Engineering Srl —Torino, Piemonte
- 25.000 € - 40.000 € all'anno
- Tempo pieno
- Remoto
- Azure
- Inglese
- AWS
Candidatura rapida

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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

ai platform engineer offerte - torino, pie

AI Engineer

Gen AI Engineer

Senior AI Engineer - Individual Productivity Tools

AI Platform Engineer

Integration to Platform System Engineer

Artificial Intelligence Engineer

Front-End Software Engineer | Vesper

AI Automation Engineer

VEL - Ground Support Systems AI Specialist

Agentic AI Engineer - AI Native Software Engineering

Full-stack Engineer

Full-stack Engineer

Avionic System Engineer

Research Engineer

Logistic Chief Engineer Fighters & Uav

Simulation Engineer

Cloud Platform Specialist

Platform System Engineer

Building automation commissioning and service engineer - Turin

AI Architect

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

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