AI Engineer | Industrial Control Systems

Hermes Corporate; Italia; On-site; EUR 45,000 - 75,000; Full time

Job summary

Hermes Corporate seeks an AI Developer with a background in industrial automation and control systems to build AI-powered tools for analyzing, comparing, and validating industrial configurations. The role focuses on Python development, FastAPI services, and integrating LLM APIs to support engineering teams.

You will parse configuration exports, explain control logic, generate documentation, and collaborate with controls engineers to scope new use cases and validate outputs.

Qualifications

• Background in industrial automation or control systems (DCS, PLC or machine control).
• 2+ years of software development experience, mainly in Python.
• Good understanding of control logic, sequencing, protections and I/O.
• Comfort working with XML and structured data.

Responsibilities

• Parse and structure control system configuration exports (XML and similar formats) so LLMs can reason over them.
• Build LLM-based tools that explain control logic, alarms and I/O, and that flag changes between configuration versions.
• Generate technical documentation and checklists from control configurations.
• Develop and deploy backend services in Python and FastAPI that integrate LLM APIs.
• Work with controls engineers to validate outputs and capture their know-how.
• Take part in client meetings to scope new use cases.

Skills

Python

Industrial automation

Control logic

XML

Tools

FastAPI

Git

Docker

Job description

We’re looking for an AI Developer with a background in industrial automation and control systems to build AI-powered tools that help engineering teams analyze, understand, compare, and validate industrial control configurations. The ideal candidate combines software development skills in Python with knowledge of industrial control logic and an interest in applying LLMs to real-world industrial challenges.

The role

You’ll build AI tools that work on industrial control system configurations. You’ll use LLMs to read, explain, compare and validate control logic, and you’ll ship these tools as production services used by engineering teams.

What you’ll do

• Parse and structure control system configuration exports (XML and similar formats) so LLMs can reason over them
• Build LLM-based tools that explain control logic, alarms and I/O, and that flag changes between configuration versions
• Generate technical documentation and checklists from control configurations
• Develop and deploy backend services in Python and FastAPI that integrate LLM APIs
• Work with controls engineers to validate outputs and capture their know-how
• Take part in client meetings to scope new use cases

What we’re looking for

Must have

• Background in industrial automation or control systems (DCS, PLC or machine control), from work experience or academic projects
• 2+ years of software development experience, mainly in Python
• Good understanding of control logic, sequencing, protections and I/O
• Comfort working with XML and structured data

Nice to have

• Experience with FastAPI or other Python web frameworks
• Hands-on use of LLM APIs (OpenAI, Anthropic, AWS Bedrock), prompt engineering or RAG
• Experience with energy or power generation equipment
• Other PLC/DCS platforms (Siemens, Rockwell, ABB, IEC 61131-3)
• Experience with Git, Docker and basic cloud deployment

What we offer

• A rare role at the intersection of controls engineering and generative AI
• Training and mentoring on the AI and software side from a senior team
• Real production projects with enterprise clients