AI Engineer

Location: Bastiglia

AI Engineer

Location:

Bastiglia, Emilia-Romagna (Hybrid - 3 days onsite)

Tinental is a technology company applying Artificial Intelligence to real industrial data. We tackle real-world challenges in energy efficiency, plant reliability, automation, and decision support, taking AI models and systems all the way from research into production.

Our work happens in complex, high-stakes environments: noisy data, strict industrial constraints, and demanding requirements for robustness, reliability, and measurable impact.

We are expanding our R&D team and are looking for an AI Engineer to join us. The role is open to  Junior, Mid-level, or Senior  candidates. Seniority and responsibilities will be determined based on your experience and skills.

What You’ll Work On (Project Examples):
Your projects will match your experience and interests.
Tinental Agents
A growing ecosystem of AI agents powering automation and orchestration inside our Caleno platform  (LLMs, RAG, tool usage, complex workflows)
Computer Vision & Industrial ML
Training, evaluating, and validating ML/CV models in real industrial environments, with all the constraints that come with production systems
MLOps & Production AI
End-to-end pipelines, observability, continuous iteration, and scaling on HPC/GPU infrastructure

What You’ll Do:

You’ll collaborate closely with a highly technical team to deliver robust, maintainable, and measurable AI solutions that actually run in production. Depending on your profile, you’ll contribute to:
Machine Learning
Computer Vision
Generative AI / LLMs
RAG and agent-based systems

You’ll work on end-to-end AI systems, from idea to production: data → models → deployment → monitoring

Responsibilities by Level:
Junior:
Dataset preparation and feature engineering
Guided model training and baseline development
Metrics analysis and clear documentation
Supporting PoCs and experimentation
Mid-Level:
Ownership of models or system components
Designing and running experiments
Integrating AI solutions into products
Post-release monitoring and continuous improvement
Senior:
Defining architectures and technology choices
Contributing to the technical roadmap
Mentoring team members
Ensuring industrial-grade robustness, scalability, and quality

What We’re Looking For:

Strong Python skills and solid ML/DL fundamentals
Experience in at least one of:
Computer Vision
NLP
LLMs / Generative AI
RAG
Agent systems
Git proficiency
A rigorous mindset around metrics, experimentation, and validation

What We Offer:

Real industrial AI projects with measurable impact
Hybrid work model (3 days onsite)
Company cafeteria
Salary aligned with experience
Direct access to HPC/GPU infrastructure

A personalised growth path:
Mentorship and guidance (Junior)
Technical ownership and autonomy (Mid)
Leadership and architectural influence (Senior)

At Tinental, your ideas matter, your growth is supported, and your work drives real-world change.