Senior AI & Sensing Systems Architect

Myveryeasy; Cagliari; Hybrid; EUR 19,000 - 32,000; Full time

Job summary

TR2 SRLS in Sardinia, Italy, seeks a skilled software engineer to design robust architectures for AI-powered sensing systems. You will work across backend, data pipelines and system integration, turning research prototypes into production-grade software.

The role focuses on reliable, scalable infrastructure powering AI and sensing products, with collaboration across DevOps, data engineering and AI teams in a fast-moving environment.

Qualifications

• BSc or MSc in Computer Science, Software Engineering or related field.
• Minimum 3 years of professional software development experience.
• Strong proficiency in Python and at least one other language (Java, Go, C++ or Rust).
• Solid experience with backend frameworks (FastAPI, Django, Flask or Spring).
• Experience with databases (PostgreSQL, MongoDB, Redis).
• Proficiency with Docker, Kubernetes and cloud platforms (AWS, GCP or Azure).
• Familiarity with CI/CD tools (GitLab CI, GitHub Actions, Jenkins).

Responsibilities

• Design, develop and maintain backend systems and APIs for AI-driven sensing platforms.
• Build and optimise data pipelines for ingesting, processing and serving large-scale sensor data.
• Implement system integration layers connecting AI models, databases, sensors and user interfaces.
• Set up and manage CI/CD pipelines, containerised deployments and cloud infrastructure.
• Collaborate with the AI team to deploy and serve machine learning models in production.
• Write clean, well-tested and documented code following software engineering best practices.
• Participate in architectural decisions and technical planning.
• Support DevOps activities and infrastructure monitoring.

Skills

Python

Backend frameworks

Databases

CI/CD

Cloud platforms

Microservices

ML model serving

Education

BSc or MSc in CS/Software Eng

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

TR2 SRLS in Sardinia, Italy, seeks a skilled software engineer to design robust architectures for AI-powered sensing systems. You will work across backend, data pipelines and system integration, turning research prototypes into production-grade software.

The role focuses on reliable, scalable infrastructure powering AI and sensing products, with collaboration across DevOps, data engineering and AI teams in a fast-moving environment.