[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-ai-engineer-energy-industry":3,"similar-ai-engineer-energy-industry":39},{"id":4,"slug":5,"title":6,"skills":7,"budget":22,"duration":23,"location":24,"onsitePercent":25,"contractType":26,"foundAt":27,"category":28,"description":32,"rawText":33,"webTitle":34,"webText":35,"language":36,"projectId":37,"sourceUrl":38},6708,"ai-engineer-energy-industry","AI Engineer - energy industry",[8,9,10,11,12,13,14,15,16,17,18,19,20,21],"Data engineering pipelines","LLMs","AI systems in production","Python","APIs","FastAPI","Unstructured data handling","PDFs","OCR","Multi-modal AI","Real-time systems","Cloud","Terraform","CRM integrations","VB","6 Monate",null,0,"contracting","2026-05-28T14:06:33+00:00",{"id":29,"slug":30,"label":31},3,"ai_ml","AI & Machine Learning","Building an AI-driven, LLM-based platform to support customer service teams in handling incoming customer interactions. The platform integrates with Microsoft CRM and focuses on establishing scalable data foundations and reusable AI capabilities.","Jobtitel: AI Engineer - energy industry\nZahlungsintervall: Stündlich\nLohnsatz: Verhandelbar\nOrt: CZ\nJob veröffentlicht: 28-05-2026\nJob-ID: 75539\nName: Shweta Patil\nTelefonnummer: +494085537032\nE-Mail: E-Mail: Shweta.Patil@nemensis.de Shweta.Patil@nemensis.de\n\nStellenbeschreibung\n\nAI Engineer - energy industry\n\nStart: asap\nDuration: 6 months (option of extension)\nLocation: remote\nLanguage: English\nEU only\n\nKey Requirements\n\nMust-have\n• Data engineering pipelines (preprocessing, ingestion, transformation)\n• LLMs \u002F AI systems in production\n• Strong programming skills (Python expected)\n• APIs (e.g. FastAPI)\n• Handling unstructured data (PDFs, OCR, images)\n• Multi-modal AI (text + image)\n• Real-time \u002F low-latency systems\n• Cloud & infrastructure (Terraform)\n• CRM integrations\n\nUnderstanding of:\n• Data quality, validation & monitoring\n• Security \u002F filtering layers in AI systems\n\nProject Description – AI-Driven Customer Enablement Platform\n\nBuilding an AI-driven, LLM-based platform to support customer service teams in handling incoming\ncustomer interactions (emails, letters, documented calls). The goal is to create a centralized AI system\nthat enriches and leverages a 360° customer data view to improve efficiency, routing, and decisionmaking. The platform integrates with an existing Microsoft CRM system and builds on current workflows.\nThe focus is on establishing scalable data foundations and reusable AI capabilities for multiple future\nuse cases.\n-Highly cross-functional environment with overlapping responsibilities\n\nResponsibilities\n• Design & implement data pipelines and preprocessing workflows\n• Work with LLMs in production environments\nContribute to:\n• Prompt engineering\n• Model orchestration\n• Evaluation & quality assurance\n• Support multi-modal processing (text, PDFs, images)\n• Integrate AI components into existing systems & APIs\n• Infrastructure as Code (Terraform)\n• Service architecture\n\nExpectations\n• Strong AI Engineering mindset, but hands-on with data\n• Comfortable working across different areas (AI, data, backend)\n• Flexible and pragmatic (\"not just LLM modeling\")\n• Able to work in early-stage, evolving environment","AI Engineer - Energy Industry","Wir suchen einen erfahrenen AI Engineer für ein spannendes 6-monatiges Projekt in der Energiebranche mit Option auf Verlängerung. Die Position ist vollständig remote und richtet sich an EU-Kandidaten mit sehr guten Englischkenntnissen.\n\nSie werden an der Entwicklung einer KI-gestützten Kundenbetreuungsplattform arbeiten, die auf Large Language Models (LLMs) basiert. Das System soll Kundenservice-Teams bei der Bearbeitung eingehender Kundeninteraktionen (E-Mails, Briefe, dokumentierte Anrufe) unterstützen und eine zentrale KI-Lösung schaffen, die eine 360°-Kundensicht nutzt.\n\nIhre Hauptaufgaben umfassen die Konzeption und Implementierung von Datenverarbeitungspipelines, die Arbeit mit LLMs in Produktionsumgebungen sowie die Unterstützung bei Prompt Engineering, Modell-Orchestrierung und Qualitätssicherung. Sie werden multimodale Verarbeitung (Text, PDFs, Bilder) implementieren und KI-Komponenten in bestehende Systeme integrieren.\n\nWir erwarten fundierte Kenntnisse in Data Engineering (Preprocessing, Ingestion, Transformation), starke Python-Programmierkenntnisse, Erfahrung mit APIs (z.B. FastAPI) und dem Umgang mit unstrukturierten Daten. Zusätzlich sind Kenntnisse in Cloud-Infrastruktur (Terraform), Real-time\u002FLow-Latency-Systemen und CRM-Integrationen erforderlich.\n\nDie Position bietet die Möglichkeit, in einem hochgradig funktionsübergreifenden Umfeld zu arbeiten und skalierbare Datenfundamente sowie wiederverwendbare KI-Fähigkeiten für zukünftige Anwendungsfälle zu etablieren. Idealerweise bringen Sie eine pragmatische Herangehensweise mit und sind flexibel in der Arbeit mit verschiedenen Bereichen (KI, Daten, Backend).","en","75539","https:\u002F\u002Fjobs.nemensis.de\u002Fjob\u002F75539\u002Fai-engineer-energy-industry",{"items":40},[41,59,77,108,126,149,174,185,205,219,231,246,259,280,291],{"id":42,"slug":43,"title":44,"skills":45,"budget":24,"duration":54,"location":55,"onsitePercent":56,"contractType":26,"foundAt":57,"category":58},6726,"ai-coach-mainframe-cobol-ki-mwd","AI Coach -Mainframe Cobol \u002FKI (m\u002Fw\u002Fd)",[46,47,48,49,50,51,52,53],"Mainframe","COBOL","KI Tools","Versicherungsbranche","KV\u002FPKV","Coaching","Deutsch C1","Englisch","4-6 Monate","Köln",50,"2026-05-28T14:29:08+00:00",{"id":29,"slug":30,"label":31},{"id":60,"slug":61,"title":62,"skills":63,"budget":72,"duration":73,"location":74,"onsitePercent":25,"contractType":26,"foundAt":75,"category":76},6710,"senior-cloud-engineer-aionnx-aws-serverless-pytorch-frankfurt","Senior Cloud Engineer AI\u002FONNX | AWS Serverless | PyTorch | Frankfurt",[64,65,66,67,68,69,70,71],"AWS ECS\u002FFargate","GitLab CI\u002FCD","PyTorch Machine Learning","Python\u002FAWS Lambda","AWS Serverless Architektur","Berechtigungskonzepte Serverless","AWS Secrets Manager","Machine Learning Engineering","max. 680 EUR\u002FTag","15.06.2026 bis 31.12.2026","Frankfurt am Main","2026-05-28T14:10:56+00:00",{"id":29,"slug":30,"label":31},{"id":78,"slug":79,"title":80,"skills":81,"budget":24,"duration":105,"location":24,"onsitePercent":25,"contractType":26,"foundAt":106,"category":107},6680,"agentic-ai-lead-mwd","Agentic AI Lead (m\u002Fw\u002Fd)",[82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104],"Enterprise AI","Agentic AI","AI-Plattformen","End-to-End AI Transformation","Prozessanalyse","Prozessautomatisierung","AI Operating Models","Governance","Enterprise Architektur","Systemintegration","Multi-Agent-Systeme","Workflow-Orchestrierung","Change Management","Stakeholder-Management","Teamaufbau","Organisationsentwicklung","Cloud Engineering","Plattform-Engineering","API-Entwicklung","Backend-Entwicklung","Datenintegration","Agile Delivery","Transformation Management","15.06.2026 - 31.12.2026 + Option","2026-05-28T13:35:37+00:00",{"id":29,"slug":30,"label":31},{"id":109,"slug":110,"title":111,"skills":112,"budget":121,"duration":24,"location":122,"onsitePercent":25,"contractType":123,"foundAt":124,"category":125},6659,"data-scientist-mwd-2","Data Scientist (m\u002Fw\u002Fd)",[113,11,114,115,116,117,118,119,120],"Machine Learning","R","Datenaufbereitung","Datenvisualisierung","Statistische Modellierung","ML-Frameworks","Projektmanagement","KI-Workshops","74.000-92.000 EUR pro Jahr","Hamburg","permanent","2026-05-28T13:32:13+00:00",{"id":29,"slug":30,"label":31},{"id":127,"slug":128,"title":129,"skills":130,"budget":24,"duration":144,"location":145,"onsitePercent":56,"contractType":146,"foundAt":147,"category":148},6552,"ai-data-engineer-mwd","AI Data Engineer (m\u002Fw\u002Fd)",[11,131,132,133,134,135,136,137,138,139,140,141,142,143],"Databricks","PySpark","Delta Lake","SQL","ETL\u002FELT-Pipelines","Datenmodellierung","Feature Engineering","MLflow","Cloud-Technologien","API-Integration","Agentenbasierte Systeme","Databricks Genie","AI-Agenten Orchestrierung","7 Monate ++","Ulm","temp_work","2026-05-28T10:51:15+00:00",{"id":29,"slug":30,"label":31},{"id":150,"slug":151,"title":152,"skills":153,"budget":24,"duration":170,"location":171,"onsitePercent":56,"contractType":146,"foundAt":172,"category":173},6542,"backend-ai-software-engineer-mwd","Backend & AI Software Engineer (m\u002Fw\u002Fd)",[154,155,156,157,158,159,160,161,162,163,164,165,166,167,9,168,11,169,138],"Kotlin","Spring","Postgres","API-Design","Kafka","RabbitMQ","JPA\u002FHibernate","AWS","Kubernetes","Docker","CI\u002FCD","GitHub Actions","Datadog","GenAI","RAG","DSPy","12 Monate","Stuttgart","2026-05-28T10:36:02+00:00",{"id":29,"slug":30,"label":31},{"id":175,"slug":176,"title":177,"skills":178,"budget":24,"duration":24,"location":24,"onsitePercent":25,"contractType":26,"foundAt":183,"category":184},6471,"data-ai-transformation-lead-mwd","Data & AI Transformation Lead (m\u002Fw\u002Fd)",[179,180,181,182],"Kommunikations- und Storytelling-Fähigkeiten","Workshop-Moderation","UX- und Service-Design","Digitale\u002FAI-Transformation","2026-05-28T08:51:01+00:00",{"id":29,"slug":30,"label":31},{"id":186,"slug":187,"title":188,"skills":189,"budget":200,"duration":201,"location":74,"onsitePercent":202,"contractType":146,"foundAt":203,"category":204},6424,"senior-ai-copilot-studio-developer-power-platform-llm-rag-azure-ai-aws-bedrock","Senior AI Copilot Studio Developer (Power Platform, LLM, RAG, Azure AI, AWS Bedrock)",[190,191,192,193,194,168,195,196,197,198,199],"Microsoft Copilot Studio","Power Platform","PowerApps","PowerAutomate","LLM","Azure AI","AWS Bedrock","AI Search","Connectoren","Enterprise Integration","max. 720 EUR\u002FTag","15.06.2026 - 31.12.2026",10,"2026-05-28T06:01:12+00:00",{"id":29,"slug":30,"label":31},{"id":206,"slug":207,"title":208,"skills":209,"budget":24,"duration":23,"location":24,"onsitePercent":25,"contractType":26,"foundAt":217,"category":218},6381,"ai-coach-wmd-azure-ai","AI Coach (w\u002Fm\u002Fd) Azure AI",[210,211,212,213,214,215,9,216],"MS Azure AI Plattform","AI Consultant\u002FArchitekt","Wissenstransfer","Team Coaching","Data Science","AI Entwicklung","Agenten-Design","2026-05-27T22:10:59+00:00",{"id":29,"slug":30,"label":31},{"id":220,"slug":221,"title":222,"skills":223,"budget":24,"duration":201,"location":74,"onsitePercent":202,"contractType":26,"foundAt":229,"category":230},6322,"ai-core-copilot-studio-developer-mwd","AI Core Copilot Studio Developer (m\u002Fw\u002Fd)",[224,225,192,226,194,168,227,161,197,228,157],"Copilot Studio","Microsoft Power Platform","Power Automate","Azure","Konnektoren","2026-05-27T14:20:54+00:00",{"id":29,"slug":30,"label":31},{"id":232,"slug":233,"title":234,"skills":235,"budget":24,"duration":24,"location":24,"onsitePercent":25,"contractType":26,"foundAt":244,"category":245},6320,"nearshore-ai-engineer-wohnsitz-nur-ausserhalb-de-mfd","Nearshore AI Engineer (Wohnsitz nur außerhalb DE) (m\u002Ff\u002Fd)",[11,13,236,237,238,239,240,241,242,163,164,243],"LLM pipelines","OpenAI SDK","LangChain","LangGraph","Prompt Engineering","PostgreSQL","REST APIs","GitHub Copilot","2026-05-27T14:16:29+00:00",{"id":29,"slug":30,"label":31},{"id":247,"slug":248,"title":249,"skills":250,"budget":24,"duration":255,"location":256,"onsitePercent":202,"contractType":123,"foundAt":257,"category":258},6308,"ai-core-copilot-studio-developer-copilot-studio-azure-foundry-aws-bedrock-mwd","AI Core Copilot Studio Developer (Copilot Studio, Azure Foundry, AWS Bedrock) (m\u002Fw\u002Fd)",[224,251,196,252,192,193,194,168,253,197,254],"Azure Foundry","MS Powerplattform","SageMaker","S3","15.06.2026 – 31.12.2026","Frankfurt Main","2026-05-27T13:56:00+00:00",{"id":29,"slug":30,"label":31},{"id":260,"slug":261,"title":262,"skills":263,"budget":24,"duration":275,"location":276,"onsitePercent":277,"contractType":26,"foundAt":278,"category":279},6272,"product-manager-rlscope-mwd","Product Manager (RL‑Scope) (m\u002Fw\u002Fd)",[264,265,113,266,267,268,269,270,271,272,273,274],"Product Management","Reinforcement Learning","AI\u002FData-Produktlebenszyklen","Anforderungsmanagement","Backlog-Management","Scrum","Kanban","SAFe","Produkt-Roadmaps","Risikomanagement","Stakeholdermanagement","01.07.2026 bis 31.12.2026 + Option","München",25,"2026-05-27T12:06:04+00:00",{"id":29,"slug":30,"label":31},{"id":281,"slug":282,"title":283,"skills":284,"budget":24,"duration":275,"location":276,"onsitePercent":277,"contractType":26,"foundAt":289,"category":290},6271,"senior-rlspezialist-reinforcement-learning-mwd","Senior RL‑Spezialist (Reinforcement Learning) (m\u002Fw\u002Fd)",[265,285,286,287,288,11,113,134,269,270,271],"Multi-Armed-Bandit-Verfahren","Contextual Bandits","Thompson Sampling","Off-Policy-Evaluation","2026-05-27T12:05:48+00:00",{"id":29,"slug":30,"label":31},{"id":292,"slug":293,"title":294,"skills":295,"budget":302,"duration":303,"location":304,"onsitePercent":202,"contractType":26,"foundAt":305,"category":306},6078,"ai-developerarchitect","AI Developer\u002FArchitect",[11,227,296,9,297,168,298,299,300,301],"AI agents","embeddings","semantic search","C#","Java","English","Negotiable","6 months","Warsaw\u002FKraków","2026-05-26T15:27:06+00:00",{"id":29,"slug":30,"label":31}]