Luxembourg - Esch-sur-Alzette•Publicerad: 18 juli•Sista ansökan: 17 aug.
WHO WE ARE
Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to
implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of
data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS
service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use
of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal
transitions.
www.lnds.lu | LNDS on LinkedIn
PURPOSE OF THE JOB / PROJECT
We are hiring an AI Engineer to help strengthen LNDS’s AI capabilities and enhance our services through the practical use of AI.
The role focuses on building AI-powered tools, agents, and workflows that improve how services are delivered to partners, making
them faster, more efficient, and more scalable. The position also contributes to reducing operational overhead and enabling teams
to focus on higher-value activities, while supporting long-term AI readiness across the organisation.
As an AI Engineer, you will be part of the DataOps team and work closely with the service delivery team to design and implement
AI-powered solutions that enhance LNDS services offered to partners. This includes:
• integrating LLMs and other AI technologies into service workflows
• building internal tools and agents
• improving how teams deliver, combine, and scale services.
You will work in a GNU Linux/Unix-first, FOSS-oriented environment and contribute through disciplined engineering, careful
experimentation, and clear documentation. The role focuses on applied AI engineering: turning real operational and service needs
into practical, reliable solutions rather than developing models from scratch.
WHAT YOU WILL DO
* Contribute to improving LNDS services by integrating AI into service delivery workflows
* Build and support AI-powered tools, agents, assistants and internal applications to support internal teams and partner-facing
activities
* Help simplify and accelerate service delivery by automating repetitive or manual tasks
* Assist with evaluating, testing, and integrating AI/ML models and related tooling for internal use cases
* Design and implement basic evaluation and benchmarking approaches for AI systems (e.g.,prompt evaluation, retrieval quality,
system behaviour)
* Contribute to AI workflow design, including data preparation, prompting strategies, evaluation and deployment patterns
* Help improve the reliability, reproducibility, and maintainability of AI development practices
* Contribute to ensure that AI systems are deployed responsibly, with appropriate validation(including human in the loop where
needed) and awareness of privacy, risk, accuracy, and context
* Contribute to AI-driven initiatives such as domain-specific applications (e.g., knowledge systems, legal or regulatory use
cases, internal assistants)
* Work productively with FOSS-based tools and frameworks in a Unix/Linux environment
* Document technical decisions, implementation details, and operational procedures clearly and accurately. Collaborate with
technical and non-technical colleagues to translate internal needs into practical solutions. Contribute to the responsible,
sustainable adoption of AI across the organisation
* Contribute to EU projects as required.
WHO YOU ARE
Required:
* BSc or MSc in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Mathematics,
Physics and related fields
* 2–5 years of relevant experience in AI, machine learning, software engineering, data science, and a related technical area
* Good grounding in Python and sound software engineering practices
* Hands-on experience with Unix/Linux environments as a primary platform
* Hands-on experience with LLMs-based systems (RAGs, assistants, workflow automation, agentic systems or model evaluation)
* Practical familiarity with open-source tools, libraries and development workflows
* Ability to work independently on well-scoped tasks and solve problems in a structured way• High standards of accuracy,
reliability and technical discipline
* Sensitivity to internal user needs and ability to iterate based on feedback
* Experience of working in Agile-minded teams
* Strong written and verbal communication skills and willingness to learn.
Nice to have (considered as advantages):
* Awareness of data privacy, security, and responsible AI considerations in system design
* Familiarity with containers, REST, CI/CD or MLOps-related tooling
* Exposure to vector or graph databases, experiment tracking, model serving, or observability tooling
* Contributions to open-source projects or demonstrable personal technical projects
Luxembourg - Esch-sur-Alzette•Publicerad: 18 juli•Sista ansökan: 17 aug.
WHO WE ARE
Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to
implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of
data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS
service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use
of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal
transitions.
www.lnds.lu | LNDS on LinkedIn
PURPOSE OF THE JOB / PROJECT
As an AI Engineer, you will be part of the DataOps team and collaborate with service delivery teams
to contribute to the design, implementation, and continuous improvement of AI-powered solutions
that enhance LNDS services offered to partners.
This includes:
• integrating LLMs and other AI technologies into service workflows
• building internal tools and agents
• improving how teams deliver, combine, and scale services
You will work in a GNU Linux/Unix-first, FOSS-oriented environment and contribute through hands-on
experimentation, continuous learning, disciplined engineering practices, and clear documentation.
WHAT YOU WILL DO
• Contribute to improving LNDS services by integrating AI into service delivery workflows
• Contribute to building and supporting AI-powered tools, agents, assistants, and internal
applications alongside colleagues across the organisation.
• Help simplify and accelerate service delivery by automating repetitive or manual tasks
• Assist with evaluating, testing, and integrating AI/ML models and related tooling for internal
use cases
• Contribute to the implementation of evaluation and benchmarking approaches for AI systems,
including prompt evaluation, retrieval quality assessment, and monitoring of system
behaviour.
• Contribute to AI workflow design, including data preparation, prompting strategies,
evaluation and deployment patterns
• Help improve the reliability, reproducibility, and maintainability of AI development practices
• Contribute to ensure that AI systems are deployed responsibly, with appropriate validation
(including human in the loop where needed) and awareness of privacy, risk, accuracy, and
context
• Contribute to AI-driven initiatives such as domain-specific applications (e.g. knowledge
systems, legal or regulatory use cases, internal assistants)
• Work productively with FOSS-based tools and frameworks in a Unix/Linux environment
• Document technical decisions, implementation details, and operational procedures clearly
and accurately
• Collaborate with colleagues from different disciplines to understand needs, share ideas, and
contribute to practical AI-enabled solutions.
• Contribute to the responsible, sustainable adoption of AI across the organisation
• Contribute to EU projects as required.
WHO YOU ARE
Required
• BSc or MSc in Computer Science, Artificial Intelligence, Machine Learning, Data Science,
Software Engineering, Mathematics, Physics and related field
• 0–2 years of relevant experience gained through employment, internships, research projects,
academic work, open-source contributions, or personal projects in AI, machine learning,
software engineering, data science, or related technical fields.
• Familiarity with Unix/Linux environments through coursework, projects, internships, or
professional experience.
• Exposure to LLM-based systems such as RAG applications, AI assistants, workflow automation,
prompt engineering, or model evaluation through practical projects or professional
experience.
• Practical familiarity with open-source tools, libraries and development workflows
• Takes ownership of assigned work, seeks feedback proactively, and approaches problems in a
logical and structured way.
• Demonstrates attention to detail, curiosity, and a commitment to delivering reliable and
maintainable solutions.
• Sensitivity to internal user needs and ability to iterate based on feedback
• Experience working collaboratively in team-based environments using agile, iterative, or
project-based ways of working.
• Strong written and verbal communication skills, a collaborative mindset, and enthusiasm for
continuous learning and skill development.
Nice to have (considered as advantages)
• Awareness of data privacy, security, and responsible AI considerations in system design
• Familiarity with containers, REST, CI/CD or MLOps-related tooling
• Exposure to vector or graph databases, experiment tracking, model serving, or observability
tooling
• Contributions to open-source projects or demonstrable personal technical projects
Luxembourg - Esch-sur-Alzette•Publicerad: 18 juli•Sista ansökan: 17 aug.
WHO WE ARE
Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to
implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of
data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS
service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use
of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal
transitions.
www.lnds.lu | LNDS on LinkedIn
PURPOSE OF THE JOB / PROJECT
As a DevOps engineer, you will play a key role in the improvement and innovation of our IT solutions for health data. You will be
part of a dynamic agile team that focuses on delivering high quality services to our clients and partners. You will also have the
opportunity to collaborate with teams around Europe on the Health Data Access Bodies (HDAB) project, a large scale initiative that
aims to enable access to health data across Europe for secondary purposes. The HDAB project is establishing a network of trusted
entities that can facilitate the access to health data, respecting the privacy and consent of the data providers and users.
HDAB-LU: This 4-year project, which started in January 2024, aims to develop and deploy the Health Data Access Body of
Luxembourg, which is the national authority responsible for granting access to health data for secondary use as set out in The
European Data Governance Act (DGA) and the European Health Data Space (EHDS). Its general objective is to enable Luxembourg to
establish and deploy services for its HDAB, at minimum:
• processing and management of data access applications,
• supporting secure processing of health data by data users,
• making sure that they are well integrated in the EHDS,
• establishing and aligning with EU standards, and providing cross-border connections for large-scale deployment of HealthData@EU
on the basis of the work conducted by the joint action TEHDaS.
WHAT YOU WILL DO
• Design, implement and maintain the HDAB and related tools at the European and national levels as part of the NinjaOps team.
• Configure and manage the HDAB operational services.
• Ensure the HDAB and services are reliable, scalable, and secure, following security- and privacy by-design best practices.
• Support the development team with agile software development and deployment practices.
• Monitor, troubleshoot and resolve issues related to the HDAB and services.
• Improve the quality and efficiency of the HDAB and services with automation, testing, and
feedback mechanisms.
• Document the HDAB and services, as well as their deployment and operations processes and
procedures.
• Research and evaluate new technologies and solutions for the HDAB project's objectives and
capabilities
• Represent the LNDS and collaborate with other teams and stakeholders to understand the HDAB
project's requirements and expectations and provide technical support and guidance.
WHO YOU ARE
• MSc in a scientific, technological, or engineering discipline related to computer science,
information technology, or computing
• 2 to 5 years of relevant experience with programming, deployment, and maintenance of web
applications, as well as Linux systems and web servers’ administration
• Experience in research environment or projects
• Working knowledge of computer security threats and methods of their prevention
• Working knowledge of security- and privacy-by-design principles
• Experience with system administration Linux (RHEL/Ubuntu) and Windows machines
• Working knowledge in shell/bash
• Proven experience with setting up continuous integration (CI) and continuous delivery (CD)
pipelines
• Good knowledge of git vcs, git platforms and IAAS tooling (e.g. Terraform)
• Experience with containerization (Docker, Podman) and provisioning tools (Ansible)
• Experience with static page generators (e.g. Jekyll, Hugo)
• Working knowledge of authentication protocols like OpenID Connect, SAML or LDAP/AD, and
solutions like Keycloak
• Experience in profiling, fine-tuning and optimization of applications
• Good verbal and written communication skills with the abilities to well articulate the technical
needs and to work within an interdisciplinary setting and communicate with external partners
• Creative, solution oriented with good analytical skills and a mindset for quality
• You have critical thinking, you are adaptable, flexible and you are able to accept and manage
changes in the workplace
• You have cultural intelligence and diversity consciousness
• Excellent communication skills in English
• Working knowledge of one of Luxembourg’s official languages (French, German or
Luxembourgish) is a plus
