AI Engineer II - Subsidy Projects (fixed term 24 months) at LNDS (Luxembourg National Data Service)

Esch-sur-Alzette, , Luxembourg -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

66800.0

Posted On

13 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLMs, RAG, Unix/Linux, Software Engineering, AI Agents, Prompt Engineering, Model Evaluation, Agile, FOSS, Data Preparation, Workflow Automation

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 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 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 tools, agents, and workflows to enhance service delivery and reduce operational overhead. Integrate LLMs into service workflows and contribute to the responsible adoption of AI across the organization.