[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-llm-modeling-post-training-engineer":3,"similar-llm-modeling-post-training-engineer":32},{"id":4,"slug":5,"title":6,"skills":7,"budget":20,"duration":20,"location":20,"onsitePercent":20,"contractType":21,"foundAt":22,"category":23,"description":27,"rawText":28,"webTitle":6,"webText":29,"language":30,"projectId":20,"sourceUrl":31},13024,"llm-modeling-post-training-engineer","LLM Modeling & Post-Training Engineer",[8,9,10,11,12,13,14,15,16,17,18,19],"LLM Fine-Tuning","Supervised Fine-Tuning (SFT)","Reinforcement Learning from Human Feedback (RLHF)","Preference Optimization (DPO, GRPO)","Reward Modeling","LoRA","QLoRA","Model Alignment","Evaluation and Benchmarking","Distributed Training","Python","PyTorch",null,"contracting","2026-06-15T18:26:28+00:00",{"id":24,"slug":25,"label":26},3,"ai_ml","AI & Machine Learning","Entwicklung und Optimierung von Large Language Models für Enterprise-Anwendungen mit Fokus auf Post-Training-Techniken wie SFT, RLHF, DPO und Alignment. Zusammenarbeit mit AI-Forschern und Plattform-Ingenieuren an produktionsreifen Systemen für komplexe Reasoning-Aufgaben.","LLM Modeling & Post-Training Engineer About the OpportunityWe're partnering with a globally recognized enterprise organization that is making a significant investment in next-generation AI capabilities and building a world-class AI Engineering function. This team is focused on developing advanced AI systems that combine frontier AI research with large-scale enterprise deployment, tackling some of the most challenging problems in reasoning, alignment, reliability, safety, and model optimization. As an LLM Modeling & Post-Training Engineer, you'll play a key role in shaping the behavior, performance, and reliability of large language models used across complex, high-impact environments. Working alongside AI researchers, platform engineers, architects, and product leaders, you'll help bridge the gap between cutting-edge AI research and production-grade systems operating at scale. This role focuses on the core modeling layer of modern AI systems - supervised fine-tuning, reinforcement learning, preference optimization, reward modeling, alignment, evaluation, and large-scale training workflows. We are looking for individuals who understand not only how to use LLMs, but how to improve and shape model behavior through advanced post-training techniques. This is not a prompt-engineering-only role. The ideal candidate has hands-on experience with fine-tuning and aligning open-weight or proprietary foundation models using techniques such as SFT, RLHF, PPO, DPO, GRPO, RLAIF, LoRA, and QLoRA, and understands how these methods impact reasoning quality, safety, latency, cost, and production reliability. Work You'll DoAs an LLM Modeling & Post-Training Engineer, you will design, train, evaluate, and optimize large language models for enterprise use cases involving complex reasoning, domain specialization, structured outputs, workflow execution, and alignment with business objectives. You will work across the full post-training lifecycle, including:• Supervised fine-tuning (SFT)• Reinforcement learning and alignment• Preference optimization and reward modeling• Synthetic data generation and curation• Evaluation and benchmarking• Model safety and red teaming• Distributed training and inference optimization• Productionization of fine-tuned models You will collaborate with platform engineers, domain experts, AI architects, and product leaders to translate complex business requirements into high-performing, reliable, and controllable AI systems. The TeamYou will join a multidisciplinary team of AI researchers, modeling engineers, platform engineers, architects, and domain specialists building next-generation enterprise AI systems. The team operates at the intersection of frontier AI research and large-scale enterprise engineering, tackling highly complex reasoning challenges, evolving operational workflows, and demanding reliability requirements. Success in this role requires strong technical depth, intellectual curiosity, an experimentation mindset, and the ability to translate advanced AI research into practical, production-ready systems. Why Apply?• Work on cutting-edge AI challenges involving reasoning, alignment, and post-training• Help shape the next generation of enterprise AI systems• Collaborate with highly technical researchers, engineers, and architects• Access modern AI infrastructure, tooling, and large-scale training environments• Join a growing AI organization with significant executive sponsorship and long-term investment• Competitive compensation and strong career growth opportunities\nAnsprechpartner: Dominic Holmes\nE-Mail: d.holmes@lawrenceharvey.com","Wir suchen einen erfahrenen LLM Modeling & Post-Training Engineer für ein zukunftsweisendes AI-Engineering-Projekt bei einer global führenden Enterprise-Organisation. Das Team entwickelt hochperformante KI-Systeme, die fortschrittliche AI-Forschung mit großflächiger Enterprise-Deployment verbinden und dabei komplexe Herausforderungen in den Bereichen Reasoning, Alignment, Zuverlässigkeit und Sicherheit adressieren.\n\nIn dieser Rolle werden Sie die Verhaltensweise, Performance und Zuverlässigkeit großer Sprachmodelle für komplexe, geschäftskritische Anwendungen gestalten. Sie arbeiten eng mit AI-Forschern, Platform Engineers, Architekten und Product Leadern zusammen, um die Lücke zwischen Spitzenforschung und produktiven Systemen im großen Maßstab zu schließen.\n\nIhre Aufgaben umfassen die gesamte Post-Training-Lifecycle: Supervised Fine-Tuning (SFT), Reinforcement Learning, Preference Optimization, Reward Modeling, Synthetic Data Generation, Evaluation und Benchmarking, Model Safety sowie Distributed Training und Inference Optimization. Sie werden komplexe Business-Anforderungen in hochperformante, zuverlässige und steuerbare KI-Systeme übersetzen.\n\nWir suchen Kandidaten mit praktischer Erfahrung in der Feinabstimmung und dem Alignment von Foundation Models mittels Techniken wie SFT, RLHF, PPO, DPO, GRPO, RLAIF, LoRA und QLoRA. Sie verstehen, wie diese Methoden Reasoning-Qualität, Sicherheit, Latenz, Kosten und Produktionszuverlässigkeit beeinflussen.\n\nDies ist keine reine Prompt-Engineering-Rolle. Erforderlich sind tiefes technisches Verständnis, intellektuelle Neugier, experimentelles Denken und die Fähigkeit, in einem multidisziplinären Team aus AI-Forschern, Modeling Engineers und Domain-Spezialisten zu arbeiten.","en","https:\u002F\u002Fwww.lawrenceharvey.com\u002Fde\u002Fjobs\u002F325152llmmodelingposttrainingengineer",{"items":33},[34,53,71,87,102,119,134,151,175,193,208,223,238,252,270],{"id":35,"slug":36,"title":37,"skills":38,"budget":20,"duration":20,"location":20,"onsitePercent":20,"contractType":50,"foundAt":51,"category":52},13025,"agentic-ai-engineer","Agentic AI Engineer",[39,40,18,41,42,43,44,45,46,47,48,49],"LangChain","LangGraph","RAG (Retrieval-Augmented Generation)","LLM","Agent Architecture","Memory Management","Context Management","Tool Integration","Observability","CI\u002FCD","API Integration","permanent","2026-06-15T18:31:34+00:00",{"id":24,"slug":25,"label":26},{"id":54,"slug":55,"title":56,"skills":57,"budget":20,"duration":20,"location":67,"onsitePercent":68,"contractType":21,"foundAt":69,"category":70},12923,"ai-prozessingenieur-hardwareentwicklung-mwd","AI Prozessingenieur Hardwareentwicklung (m\u002Fw\u002Fd)",[58,59,60,18,61,62,63,64,65,66],"Informatik","Elektrotechnik","KI-Tools","Machine Learning","MS Azure","SAP","Digitalisierung","Prozessoptimierung","Automatisierung","Erlangen",100,"2026-06-15T12:25:39+00:00",{"id":24,"slug":25,"label":26},{"id":72,"slug":73,"title":74,"skills":75,"budget":20,"duration":82,"location":83,"onsitePercent":84,"contractType":21,"foundAt":85,"category":86},12878,"data-scientist-machine-learning-ki-python-mwd","Data Scientist (Machine Learning, KI, Python) (m\u002Fw\u002Fd)",[18,61,76,77,78,79,80,81],"Data Analytics","Statistik","Artificial Intelligence","Databricks","Azure","Agile Projekterfahrung","Nach Vereinbarung, Start 01.08.2026","Basel",40,"2026-06-15T11:01:17+00:00",{"id":24,"slug":25,"label":26},{"id":88,"slug":89,"title":90,"skills":91,"budget":20,"duration":20,"location":99,"onsitePercent":68,"contractType":50,"foundAt":100,"category":101},12851,"head-of-ai-robotics","Head of AI & Robotics",[92,93,94,61,95,96,97,98],"AI Leadership","Robotics","Autonomous Systems","Software Engineering","Team Leadership","Computer Vision","Technical Strategy","Berlin","2026-06-15T09:45:55+00:00",{"id":24,"slug":25,"label":26},{"id":103,"slug":104,"title":105,"skills":106,"budget":20,"duration":114,"location":115,"onsitePercent":116,"contractType":21,"foundAt":117,"category":118},12678,"ki-trainer-mwd-mit-polnischkenntnissen","KI-Trainer (m\u002Fw\u002Fd) mit Polnischkenntnissen",[107,108,109,110,111,112,113],"Polnisch (Muttersprache oder verhandlungssicher)","Deutsch oder Englisch","KI-Trainings-Erfahrung","Workshop-Moderation","Digitale Trainingsumgebungen (Teams, virtuelle Whiteboards)","Didaktische Erfahrung","Trainingsformate: Impulsvorträge, Workshops, klassische Trainingseinheiten","12 Monate, ab September 2026","Warschau, Polen",30,"2026-06-12T12:55:45+00:00",{"id":24,"slug":25,"label":26},{"id":120,"slug":121,"title":122,"skills":123,"budget":20,"duration":130,"location":99,"onsitePercent":131,"contractType":21,"foundAt":132,"category":133},12492,"business-analyst-im-bereich-ki-governanceki-assistentenentwicklung-mwd","Business Analyst im Bereich KI Governance\u002FKI Assistentenentwicklung (m\u002Fw\u002Fd)",[124,125,126,127,128,129],"Business Analysis","KI Governance","AI Act Regelungsinhalte","KI-Assistenten-Entwicklung","Verfahrensoptimierung","Best Practices KI","3 Monate mit Option auf Verlängerung",20,"2026-06-11T14:28:33+00:00",{"id":24,"slug":25,"label":26},{"id":135,"slug":136,"title":137,"skills":138,"budget":20,"duration":20,"location":147,"onsitePercent":148,"contractType":21,"foundAt":149,"category":150},12487,"it-data-engineer-splunk-mwd","IT Data Engineer Splunk (m\u002Fw\u002Fd)",[18,139,140,79,80,141,142,143,61,144,145,146],"PySpark","Spark SQL","GitLab CI\u002FCD","SQL","ETL","Splunk","REST APIs","Big Data","Hamburg",50,"2026-06-11T14:26:53+00:00",{"id":24,"slug":25,"label":26},{"id":152,"slug":153,"title":154,"skills":155,"budget":20,"duration":170,"location":171,"onsitePercent":172,"contractType":21,"foundAt":173,"category":174},12467,"ai-entwickler-mwd-conversational-ai-mit-cognigy-claude-code-remote","AI Entwickler (m\u002Fw\u002Fd) Conversational AI mit Cognigy \u002F Claude Code - Remote",[156,157,158,159,160,161,162,163,164,165,166,167,168,169],"Conversational AI","Cognigy","Claude Code","Agentic Engineering","Voicebots","Chatbots","Amazon Connect","Amazon Bedrock","AWS","Jira","Confluence","SCRUM","Deutsch","Englisch","Juni\u002FASAP bis 31.12 + Option","München",0,"2026-06-11T13:56:16+00:00",{"id":24,"slug":25,"label":26},{"id":176,"slug":177,"title":178,"skills":179,"budget":187,"duration":188,"location":189,"onsitePercent":190,"contractType":21,"foundAt":191,"category":192},12391,"ki-berater-identifikation-entwicklung-von-ki-use-cases-in-der-energiewirtschaft","KI-Berater – Identifikation & Entwicklung von KI Use Cases in der Energiewirtschaft",[180,181,110,182,61,183,184,185,186],"KI-Beratung","Use-Case-Entwicklung","Projektmanagement","GenAI","Energiewirtschaft","Prozessanalyse","Business Case Entwicklung","max. 70 EUR\u002Fh Remote + 17 EUR\u002Fh Onsite","01.07.2026 - 30.09.2026 (3 Monate)","Regensburg",10,"2026-06-11T09:40:45+00:00",{"id":24,"slug":25,"label":26},{"id":194,"slug":195,"title":196,"skills":197,"budget":204,"duration":20,"location":205,"onsitePercent":148,"contractType":50,"foundAt":206,"category":207},12270,"it-berater-artificial-intelligence-ai-it-consultant-artificial-intelligence-mwd","IT-Berater Artificial Intelligence (AI) \u002F IT-Consultant Artificial Intelligence (m\u002Fw\u002Fd)",[198,80,199,200,201,202,18,203,168,169],"Beratung und Umsetzung von KI-Lösungen","Large Language Models","Prompt Engineering","Azure ML","Cognitive Services","R","bis zu 65.000 EUR Jahresgehalt","Wien","2026-06-11T00:01:43+00:00",{"id":24,"slug":25,"label":26},{"id":209,"slug":210,"title":211,"skills":212,"budget":220,"duration":20,"location":205,"onsitePercent":20,"contractType":50,"foundAt":221,"category":222},12269,"senior-data-scientist-mwd-data-engineer","Senior Data Scientist (m\u002Fw\u002Fd) – Data Engineer",[213,214,18,61,215,97,80,216,164,217,218,219,48],"Data Science","Data Engineering","NLP","Kubernetes","MS SQL Server","PostgreSQL","DevOps","ab 65.000 EUR Bruttojahresgehalt","2026-06-11T00:01:31+00:00",{"id":24,"slug":25,"label":26},{"id":224,"slug":225,"title":226,"skills":227,"budget":20,"duration":20,"location":235,"onsitePercent":148,"contractType":50,"foundAt":236,"category":237},12260,"artificial-intelligence-engineer-insurtech-startup-new-york-hybrid","Artificial Intelligence Engineer | InsurTech Startup | New York (Hybrid)",[18,61,228,229,200,230,19,231,232,216,48,233,215,234],"Generative AI","LLMs","RAG Architectures","TensorFlow","Docker","MLOps","API Development","New York","2026-06-10T19:47:12+00:00",{"id":24,"slug":25,"label":26},{"id":239,"slug":240,"title":241,"skills":242,"budget":20,"duration":20,"location":249,"onsitePercent":68,"contractType":50,"foundAt":250,"category":251},12219,"ai-learning-und-event-manager-mwd","AI Learning und Event Manager (m\u002Fw\u002Fd)",[182,243,228,244,245,246,247,248,168,169],"Event-Management","Microsoft 365","SharePoint","Trainingskonzeption","Moderation","Stakeholder-Koordination","Erlangen, Bayern","2026-06-10T15:27:04+00:00",{"id":24,"slug":25,"label":26},{"id":253,"slug":254,"title":255,"skills":256,"budget":20,"duration":265,"location":266,"onsitePercent":84,"contractType":267,"foundAt":268,"category":269},12121,"ki-entwickler-mwd-gr-frankfurtremote-juli-2026-24-monate","KI Entwickler (m\u002Fw\u002Fd) \u002F\u002F GR Frankfurt\u002Fremote \u002F\u002F Juli 2026 \u002F\u002F 24 Monate",[18,257,258,259,200,260,261,262,263,264],"Java","Generative KI","Chatbot-Entwicklung","RAG Architekturen","GitLab","MCP (Model Context Protocol)","Automatisierte Tests","Deployment Pipelines","24 Monate (Juli 2026 - Juni 2028)","Frankfurt","temp_work","2026-06-10T12:58:09+00:00",{"id":24,"slug":25,"label":26},{"id":271,"slug":272,"title":273,"skills":274,"budget":20,"duration":20,"location":266,"onsitePercent":148,"contractType":21,"foundAt":280,"category":281},12031,"ki-developer-kundenschnittstellen-mwd","KI Developer Kundenschnittstellen (m\u002Fw\u002Fd)",[18,257,258,259,275,200,141,276,277,278,279],"RAG (Retrieval Augmented Generation)","Testing Frameworks","Kanban","Backend-Entwicklung","Frontend-Entwicklung","2026-06-10T09:25:59+00:00",{"id":24,"slug":25,"label":26}]