AI & Data Engineer Ortisei · Hybrid

Demitas SRL; Ortisei; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Flexible hybrid working

Direct collaboration with founders

Room to shape technical standards

Job summary

Demitas SRL is an Ortisei-based software engineering company building AI-enabled solutions for clients and internal products. You will influence from idea through design to production, collaborating closely with founders and clients on a variety of projects spanning backend, API, data pipelines and cloud infrastructure.

You will explore AI services, build retrieval and knowledge-based systems, and potentially work on firmware or embedded systems depending on the project.

Qualifications

• Ideally a completed degree in a technical or scientific field.
• 1
• Solid foundations in software or data engineering.
• 2
• Strong programming skills, ideally in Python or a modern language.
• 3
• Understanding of APIs, databases and software architecture concepts.
• 4
• Practical experience with AI tech, especially LLMs and AI frameworks.
• 5
• Interest in learning new technologies quickly and applying them sensibly.
• 6
• Strong problem solving and pragmatic engineering approach.
• 7
• Good communication skills.

Responsibilities

• Build AI-enabled features and workflows for client projects and internal products.
• Develop APIs and backend services.
• Create and extend databases, data pipelines and cloud infrastructure.
• Develop retrieval-based and knowledge-based AI systems.
• Connect AI systems to business applications and existing software.
• Build web applications and internal tools.
• Design reliable, maintainable, and secure software architectures.
• Work with Docker, CI/CD and modern tooling.
• Evaluate new technologies and assess their value.
• Collaborate with clients to translate requirements into working solutions.
• Optionally contribute to firmware and embedded systems.

Skills

Python

APIs

Data engineering

LLMs

AI frameworks

Cloud platforms

Docker

CI/CD

React

Education

Bachelor's or higher in computer science or related field

Tools

FastAPI

PostgreSQL

Docker

React

Job description

Demitas is a young software engineering company based in Ortisei. We build software and digital products for companies that want to use technology, data and AI to improve the way they work.

Our focus is integrating AI into real applications and business processes. We help companies bring AI into their products, their internal processes and their customer-facing applications.

We combine modern technology with solid software engineering. What we are after are solutions that are not merely technically interesting, but reliable, maintainable and valuable to our clients over the long term.

Depending on the project we work on backend and frontend systems, APIs, data solutions, cloud infrastructure and web applications, and, where the project calls for it, on firmware and embedded systems.

We are a small company. That means short paths, direct collaboration and a lot of room to shape things. Not everything here has a finished process or structure yet. You get the chance to take responsibility and to develop our technical standards, our processes and the way we work together with us.

As an AI & Data Engineer you build solutions where modern AI technology meets solid software engineering. You work on our own products and on client projects, and you follow a solution from the first idea through technical design and implementation into production. You work closely with the founders and, depending on the project, directly with our clients.

Depending on your interests, your experience and the project at hand, that can include:

• Integrating LLMs and other AI services into existing applications
• Building AI-based features and workflows
• Developing APIs and backend services
• Building and extending databases, data pipelines and cloud infrastructure
• Building retrieval-based and knowledge-based AI systems
• Connecting AI systems to business applications and existing software
• Building web applications and internal tools
• Designing reliable, maintainable and secure software architectures
• Working with Docker, CI/CD and modern development tooling
• Evaluating new technologies and judging where they are worth using
• Working directly with clients to turn technical requirements into working solutions
• Optionally, contributing to firmware and embedded systems

You are not locked into one technical discipline. When a project calls for new technology or a different approach, you learn it and work out a fitting solution with the team.

Your profile

How you think and how you solve problems matters more to us than whether your CV lists every technology in our toolchain.

Ideally you bring:

• A completed degree in a technical or scientific field
• Solid foundations in software or data engineering
• Good programming skills, ideally in Python or a comparable modern language
• An understanding of APIs, databases and the basic concepts of software architecture
• Practical experience with AI technology, in particular LLMs, APIs or AI frameworks
• An interest in understanding new technologies quickly and putting them to sensible use
• Strong problem-solving skills and a pragmatic approach to engineeringThe ability to work independently and take responsibility for your results
• Good communication skills

Experience with some of these is an advantage

• RAG and vector databases
• FastAPI or comparable backend frameworks
• PostgreSQL
• Docker
• Cloud platforms
• CI/CD and DevOps
• Data engineering and data pipelines
• React or comparable modern frontend technologies
• Embedded systems or firmware

You do not need all of it. What counts is that you bring good technical foundations, approach problems in a structured way, and enjoy working your way into new subjects.

What we offer

• A central engineering role in a young and growing company
• Direct collaboration with the founders and short decision paths
• Real responsibility from the start
• The chance to shape technical standards, architectures and processes
• Work on modern AI and software engineering projects
• Varied work and a broad technical scope rather than one narrowly defined role
• The chance to work on client projects and on our own products
• Room to try new technologies and bring in your own ideas
• Flexible hybrid working

Classification and pay follow the Kollektivvertrag Handel (CCNL Commercio), by classification level according to qualification and experience.