AI & Data Engineer Ortisei · Hybrid
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.
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.