Semantic AI & Cloud Solutions Engineer

IESF Group International

Semantic AI & Cloud Solutions Engineer position at a software company specializing in eCustoms solutions. Join a multilingual team in Luxembourg, focusing on AI and cloud technologies.

Posted 6/8/2026contractLuxembourg • 🇱🇺 LuxembourgMid-LevelSenior💰 €400 - €450 per dayWebsite

ATS Keywords

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Hard Skills

PythonAWS Cloud ComputingDockerJavaLinuxdata modellingdata analysismachine learningLarge Language ModelsDeep Learning Frameworks

Soft Skills

communicationpresentationstakeholder alignmentknowledge sharing

Tools & Technologies

Apache JenaVirtuosoAWS LambdaAzure FunctionsJenkinsGitLab CI/CDAWS CodePipelineAzure DevOpsMicrosoft PowerBIKafka

Industry Keywords

Semantic WebtriplestoreAPI Gatewaymonitoring toolsVersion controlCollaboration systemsOWL 2RDFSPARQLdata processing

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerHadoopJavaJenkinsKafkaLinuxPerlPythonPyTorchSparkSubversionTensorflow

About the role

Key responsibilities & impact

Shape the future of data systems: Define conceptual specifications that drive the creation, evolution, and optimization of semantic systems, with an emphasis on secure, reliable, and user-friendly data flows;
Enable seamless transformations: Develop implementation and migration strategies that ensure smooth transitions and long-lasting, sustainable architectures;
Bring semantic data to life: Configure and maintain triplestore servers (Apache Jena, Virtuoso) and integrate semantic data into business intelligence tools, turning raw information into actionable insights;
Leverage AI for smarter systems: Design and deploy predictive models, recommendation engines, and LLM-powered semantic reasoning to uncover hidden relationships and patterns in data;
Build resilient cloud solutions: Develop and manage cloud-based Semantic Web applications (AWS Lambda, Azure Functions, S3/Storage) that are scalable, secure, and high-performing;
Automate for efficiency and reliability: Apply DevOps and CI/CD practices (Jenkins, GitLab CI/CD, AWS CodePipeline, Azure DevOps) to streamline testing, deployment, and monitoring;
Ensure peak performance: Monitor, troubleshoot, and optimize Semantic Web systems for speed, reliability, and cost-effectiveness;
Communicate with impact: Deliver presentations, recommendations, and training that align stakeholders and share knowledge effectively.
Guarantee continuity: Manage takeover and handover processes, preserving institutional knowledge and ensuring smooth transitions.

Requirements

What you’ll need

University degree in IT or relevant discipline, combined with minimum 4 years of relevant working experience in IT;
At least 3 years of experience in Python;
At least 2 years of experience in AWS Cloud Computing services and Docker;
At least 2 years of experience in Java (Java SE, Java EE, EJB, Applet, etc.);
At least 2 years of experience in Linux;
At least 1 year of experience in data modelling (BPMN, ARIS, EPC, Flowcharts), data analysis (Microsoft PowerBI, KNIME, Hadoop, Spark) and data processing (Kafka, Airflow, Kuberflow, LangChain, Langraph);
At least 1 year of experience in machine learning, Large Language Models (LLMs) and Deep Learning Frameworks (Transformers , TensorFlow , PyTorch, AWS Bedrock, AWS SageMaker AI, Terraformers , Haystack);
At least 1 year of experience in API Gateway;
At least 1 year of experience in Microsoft Windows 7 and higher;
At least 1 year of experience in Perl, R and C++;
At least 1 year of experience in monitoring tools(e.g. ELK, Datadog, Dynatrace);
At least 1 year of experience in Version control(e.g. SVN, Bitbucket) and Collaboration systems (Jira, Confluence, Microsoft Office 365);
At least 1 year of experience in one of the following: OWL 2, RDF, RDF-S, Triple stores(Virtuoso or equivalent) and SPARQL 1.0/1.1;
Excellent command of the English language.

Benefits

Comp & perks

You'll drive innovation and impact by shaping AI-powered Semantic Web systems that influence strategic decisions.
You'll grow and learn continuously, mastering semantic technologies, AI/ML, and cloud solutions while expanding your expertise.
You'll lead and collaborate on projects end-to-end, working with diverse teams and enjoying the autonomy to make meaningful contributions.