AI Engineer I at LNDS (Luxembourg National Data Service)

Esch-sur-Alzette, , Luxembourg -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

57000.0

Posted On

13 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM Integration, RAG Applications, Prompt Engineering, Unix/Linux, Python, AI Model Evaluation, Workflow Automation, FOSS Tools, Data Preparation, MLOps, Agile Methodology, Software Engineering, Data Science, Machine Learning, Technical Documentation, Collaborative Problem Solving

Industry

Data Infrastructure and Analytics

Description

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 About us What we offer Dynamic and innovative work environment Collaboration with diverse stakeholders Inclusive and diverse culture European recognition and impactful projects Shape the future of the data revolution What sets us apart The Luxembourg National Data Service is a modern and dynamic undertaking. We embrace a Lean and Agile mindset, combining the entrepreneurial spirit of a startup with the responsibility of a public body on a national mission. We will be a partner of society and industry, collaborating with a hugely diverse group of stakeholders in public research, public authorities, European institutions, academic and private institutions, and small, medium and large companies. Therefore, we have an international and multilingual character. Even in this rather ambitious context, we preserve a warm and personal atmosphere. Inclusion and diversity are some of our key values. We ensure that everyone has employment and career opportunities in accordance with their skills and aspirations, respecting and being mindful of their individual characteristics. Join LNDS and revolutionise the data economy! Be part of our dynamic team driving innovation and making a tangible impact. Collaborate on cutting-edge projects, gaining European recognition in the prestigious European Data Spaces initiative. Shape a transformative future in the data revolution. Apply now! Information for Recruitment Agencies: LNDS as well as all related entities do not accept any candidate submission from unsolicited third parties. Candidates presented by unsolicited third parties (such as recruitment agencies, head hunters etc.), will not be entered into the recruitment process and will not be considered further. Further on, no contractual relationship will result out of such a submission between LNDS and a third party. LNDS is not obligated nor willing to pay any fee to third parties submitting candidates in this manner. Your data is handled according to the compliance guidelines of LNDS. Data Processing: LNDS is proud to be an equal opportunities employer. We are committed to providing equal access to employment opportunities to all prospective employees within the recruitment process. LNDS complies with and supports all national and local laws pertaining to non-discrimination. Please note that LNDS is supported by Serendi for Talent Acquisition Services. As LNDS's Recruitment Process Outsourcing provider, Serendi is exclusively in charge of the above-mentioned position. Your data is handled according to the compliance guidelines of LNDS. Please see the Recruitment Data Privacy Statement for more information. If you have any questions your recruiter will be happy to help. www.serendi.com Pay Transparency: The full‑time base salary range for this position is shown at the top of the job advertisement or is discussed with the LNDS Talent Acquisition team early in the process. The final offer will depend on several factors, including: • the scope, complexity, responsibilities, and requirements of the role, and • your individual profile, such as your education or qualifications, expertise, specialisation, skills, and relevant experience. If you do not meet all the role requirements or if you significantly exceed them, the final salary offered may fall below or above the stated range. In addition to your base salary, you may also be eligible for other rewards and benefits, including a competitive performance‑based bonus. Eligibility depends on LNDS policies and the terms outlined in your employment contract.

Responsibilities

Design and implement AI-powered solutions and internal tools to enhance LNDS services. Automate repetitive tasks and integrate LLMs into service delivery workflows within a FOSS-oriented environment.