[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fintelligent-agent-engineering":3,"seo-content-expertise-intelligent-agent-engineering-global":55,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fintelligent-agent-engineering":56,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fintelligent-agent-engineering":123},{"total":4,"jobs":5},1,[6],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":44,"processed_job_expertise_skills_labels":45,"max_cpc":4,"actual_cpc":54},90217,"openpay-mx-ai-engineer-openpay-sapi-de-cv","OPENPAY MX - AI ENGINEER",null,false,{"name":13,"slug":14,"logo_url":10},"OPENPAY, S.A.P.I. DE C.V.","openpay-sapi-de-cv",[16],"Ciudad de México",[18],"MX","onsite",600000,900000,"MXN","estimated",[25],"FULL_TIME","permanent",{"rag":28,"llms":28,"mlops":28,"llmops":28,"python":28,"caching":29,"agentops":28,"embeddings":28,"deep learning":28,"machine learning":28,"model distillation":29,"model optimization":28,"efficient inference":29},4,3,[31,32,33,34,35,36,37,38,39,40,41,42,43],"Python","Machine Learning","Deep Learning","LLMs","RAG","MLOps","LLMOps","AgentOps","Embeddings","Model Optimization","Caching","Model Distillation","Efficient Inference",{"ethics in ai":28,"security and privacy":28,"advanced optimization":28,"ai architecture design":28,"governance and operation":28,"mlops\u002Fllmops implementation":28,"genai application development":28,"intelligent agent engineering":28},[46,47,48,49,50,51,52,53],"AI Architecture Design","GenAI Application Development","Intelligent Agent Engineering","MLOps\u002FLLMOps Implementation","Advanced Optimization","Governance and Operation","Security and Privacy","Ethics in AI",0.5,{},{"industry":57,"employment_type":61,"expertise_skills":64,"it_skills":87,"salary_currency":119,"processed_working_hours":121},[58],{"key":59,"label":60,"count":4},"financial services","Financial Services",[62],{"key":26,"label":63,"count":4},"PERMANENT",[65,68,71,74,77,80,82,84],{"key":66,"label":67,"slug":66,"count":4},"genai-application-development","Genai Application Development",{"key":69,"label":70,"slug":69,"count":4},"ai-architecture-design","Ai Architecture Design",{"key":72,"label":73,"slug":72,"count":4},"ethics-in-ai","Ethics In Ai",{"key":75,"label":76,"slug":75,"count":4},"security-and-privacy","Security And Privacy",{"key":78,"label":79,"slug":78,"count":4},"governance-and-operation","Governance And Operation",{"key":81,"label":48,"slug":81,"count":4},"intelligent-agent-engineering",{"key":83,"label":50,"slug":83,"count":4},"advanced-optimization",{"key":85,"label":86,"slug":85,"count":4},"mlopsllmops-implementation","Mlops\u002FLlmops Implementation",[88,90,92,95,98,101,104,107,109,111,113,115,117],{"key":89,"label":31,"slug":89,"count":4},"python",{"key":91,"label":43,"slug":91,"count":4},"efficient-inference",{"key":93,"label":94,"slug":93,"count":4},"agentops","Agentops",{"key":96,"label":97,"slug":96,"count":4},"rag","Rag",{"key":99,"label":100,"slug":99,"count":4},"mlops","Mlops",{"key":102,"label":103,"slug":102,"count":4},"llmops","Llmops",{"key":105,"label":106,"slug":105,"count":4},"llms","Llms",{"key":108,"label":40,"slug":108,"count":4},"model-optimization",{"key":110,"label":32,"slug":110,"count":4},"machine-learning",{"key":112,"label":41,"slug":112,"count":4},"caching",{"key":114,"label":39,"slug":114,"count":4},"embeddings",{"key":116,"label":33,"slug":116,"count":4},"deep-learning",{"key":118,"label":42,"slug":118,"count":4},"model-distillation",[120],{"key":22,"label":22,"count":4},[122],{"key":25,"label":25,"count":4},{"total":4,"jobs":124},[125],{"id":126,"slug":127,"title":128,"raw_title":10,"is_featured":129,"company":130,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":134,"processed_country_iso_code_gmaps":136,"processed_home_office":138,"processed_salary_min":139,"processed_salary_max":140,"processed_salary_currency":141,"processed_salary_source":10,"processed_working_hours":142,"processed_employment_types":63,"processed_it_skills":144,"processed_it_skills_labels":10,"processed_job_expertise_skills":145,"processed_job_expertise_skills_labels":146,"max_cpc":153,"actual_cpc":10},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":131,"slug":132,"logo_url":133},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[135],"Frankfurt am Main",[137],"DE","HYBRID",45000,65000,"EUR",[143],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[147,148,149,150,151,152],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]