Full-stack Developer - Tuscany - Zerynth

Descrizione

We are looking for you
We are looking for a Full-Stack Developer to join Zerynth Product Development, the team responsible for building and evolving the Zerynth Industrial AI Copilot Platform - a cloud and edge - native system designed to digitalize industrial operations and enable AI-driven decision-making on real shopfloors.

The platform operates at the intersection of industrial machinery, cloud infrastructure, and artificial intelligence, ingesting large volumes of data from connected machines and transforming them into actionable insights and intelligent interactions.

In this role, you will work across the full stack—frontend, backend, data pipelines, and infrastructure—contributing to a platform that is mission-critical for our customers.
You will also play an active role in the development of Zero, our Industrial AI Copilot, building LLM/RAG-based components and intelligent agents that interact with industrial data, guide users, and automate operational tasks.

Given the critical nature of industrial environments and evolving regulatory requirements (e.g.
NIS2), security, reliability, and resilience are core design principles of the platform, not optional features.

We are looking for a pragmatic and curious engineer/computer scientist, comfortable navigating different technologies (Go, React, Python, containers, distributed systems), and motivated to work on complex, real-world industrial challenges.

Your mission

You will build the core of an Industrial AI platform used in real production environments.

You will work in a team where engineering drives product evolution, through prototypes and concrete solutions.

You will gain hands-on experience with AI applied to industrial data, not toy use cases.

You will contribute to systems where reliability, security, and impact truly matter.
What you will do:

Design, develop, and maintain backend services (Go) and frontend applications (React/Type Script) of the Zerynth platform.

Build scalable, secure, and cloud-native architectures for industrial data ingestion, processing, and visualization.

Develop and integrate LLM-based agents, RAG pipelines, and AI components within the Industrial AI Copilot.

Collaborate with the team to define solutions through rapid prototyping and technical exploration, rather than heavy upfront documentation.

Contribute to data pipelines, message-driven architectures, and distributed systems handling industrial-scale workloads.

Implement and maintain CI/CD pipelines and automated deployment processes.

Ensure observability, reliability, and operational robustness of the platform.

Apply security-by-design principles across services, APIs, and infrastructure.

Continuously improve performance, scalability, and developer experience.
What skills we need:
-At least 3 years of practical experience (internships, thesis projects, or professional experience)
-Languages & Frameworks

Go
Java Script / Type Script
React (or equivalent frontend frameworks)
Python -Systems & Networking

Linux (Ubuntu/Debian): administration and troubleshooting
Networking fundamentals: TCP/IP, DNS, VPN -Databases & Data Management
Postgre SQL -Communication Protocols

HTTP / HTTPS
MQTT / MQTTS -Dev Ops, Reliability & Security

Docker and container-based deployments
Message brokers (Kafka or Rabbit MQ)
Reverse proxies and load balancers (Nginx, HAProxy, or equivalents)
CI/CD pipelines (Jenkins, Git Hub Actions, Git Lab CI)
Observability stacks (Prometheus, Grafana, Loki, ELK) -Security fundamentals (mandatory awareness):

Secure authentication and authorization mechanisms
TLS, certificate management, and secure communications
Basic secure-by-design software principles
Awareness of availability, integrity, and data protection requirements in industrial and mission-critical systems -Collaboration & Code Quality

Strong proficiency with Git and modern branching strategies (Git Flow, trunk-based)
Ability to work effectively in distributed and cross-functional teams -Languages

Excellent Italian (written and spoken)
Excellent English (written and spoken) Bonus skills (a plus, but not mandatory):
-AI & LLM Development

Familiarity with Large Language Models and prompt engineering
Experience developing AI copilots or intelligent assistants
Knowledge of LLM agent frameworks (Lang Chain, Semantic Kernel, Net Graph, or equivalents)
Integration of AI models into cloud-native architectures (REST/g RPC, microservices)
Experience with data processing pipelines and model fine-tuning (including API-based models)
Familiarity with ML/AI frameworks (Py Torch, Tensor Flow)
Awareness of AI safety, monitoring, and responsible AI practices -Security, Compliance & Industrial Context

Experience or interest in cybersecurity best practices for cloud and industrial systems
Understanding of OT/IT security boundaries and common threat models
Secure API design, secrets management, and role-based access control
Awareness of regulatory and compliance frameworks affecting industrial platforms (e.g.
NIS2, operational resilience, data protection)
Interest in security monitoring, incident response, and system hardening
Experience with high-availability and fault-tolerant architectures in critical environments -Infrastructure & Automation

Infrastructure as Code (Terraform)
Infrastructure and configuration automation (Ansible or equivalent) Application process: Candidates will have a first interview.
If successful, they will proceed to a skill assessment phase.

Contractual offer:

Full-time employment
RAL range: €30,000–€36,000, commensurate with experience
The onboarding requires presence at our Pisa office; once completed, flexible work options are available.
About Zerynth
Zerynth is revolutionizing industrial manufacturing with a Copilot Platform that integrates Io T and Artificial Intelligence, making digital transformation simple, fast, and secure for any production process.

Our mission is to help manufacturing companies operate more efficiently by leveraging real-time data, strategic KPIs, and proactive maintenance.

Zero, our conversational AI agent, provides instant access to data through chat, automatically generating insights, notifications, and reports.
The platform integrates seamlessly with ERP, MES, and BI systems, enriching them with accurate operational data for improved planning.

Zerynth offers a structured approach—from process mapping and asset connectivity to continuous AI training with certified expert support.

The results speak for themselves: up to 70% reduction in machine downtime, 40% less energy consumption, and 30% lower maintenance costs.

Founded in Pisa in 2015, Zerynth now works with over 200 industrial companies.

www.zerynth.com