[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-arize-phoenix-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Farize-phoenix":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Farize-phoenix":216,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Farize-phoenix":343},{},{"total":5,"jobs":6},4,[7,118,152,169],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":30,"processed_job_expertise_skills":98,"processed_job_expertise_skills_labels":99,"max_cpc":117,"actual_cpc":117},83760,"sr-staff-software-engineer-ai-agent-platform-government-employees-insurance-company","Sr. Staff Software Engineer, AI Agent Platform",null,false,{"name":14,"slug":15,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[17],"New York",[19],"US","hybrid",130000,300000,"USD","estimated",[26],"FULL_TIME","permanent",{"go":5,"aws":29,"llm":29,"mcp":29,"rag":29,"clis":29,"dbos":29,"java":5,"sdks":29,"slos":5,"azure":29,"ci\u002Fcd":5,"genai":29,"kafka":29,"vespa":29,"python":5,"datadog":29,"grafana":29,"on-call":5,"portals":29,"restate":29,"langfuse":29,"temporal":29,"game days":29,"langgraph":29,"langsmith":29,"api design":5,"braintrust":29,"kubernetes":5,"opensearch":29,"prometheus":29,"sandboxing":29,"concurrency":5,"postmortems":5,"scalability":5,"arize phoenix":29,"data modeling":5,"error budgets":29,"observability":5,"opentelemetry":29,"feature stores":29,"azure ai search":29,"fault tolerance":5,"claude agent sdk":29,"event processing":29,"knowledge graphs":29,"prompt injection":29,"agentic workflows":29,"capacity planning":5,"chaos engineering":29,"durable execution":29,"incident response":5,"openai agents sdk":29,"aws step functions":29,"azure durable task":29,"performance tuning":5,"distributed systems":5,"streaming ingestion":29,"evaluation frameworks":29,"multi-tenant services":29,"supply chain security":29,"workflow orchestration":29,"monitoring and alerting":5,"amazon bedrock agentcore":29,"microsoft agent framework":29,"event-driven architectures":29,"microsoft foundry agent service":29},3,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97],"Python","Java","Go","Kubernetes","CI\u002FCD","Distributed Systems","API Design","Data Modeling","Concurrency","Fault Tolerance","Scalability","Observability","Monitoring and Alerting","On-call","Incident Response","Postmortems","SLOs","Capacity Planning","Performance Tuning","Temporal","Restate","DBOS","Azure Durable Task","AWS Step Functions","Kafka","LangGraph","Microsoft Agent Framework","OpenAI Agents SDK","Claude Agent SDK","Azure AI Search","OpenSearch","Vespa","OpenTelemetry","Prometheus","Grafana","Datadog","Langfuse","LangSmith","Braintrust","Arize Phoenix","Azure","AWS","Microsoft Foundry Agent Service","Amazon Bedrock AgentCore","MCP","RAG","LLM","GenAI","Agentic Workflows","Durable Execution","Workflow Orchestration","Event-driven Architectures","Multi-tenant Services","SDKs","CLIs","Portals","Streaming Ingestion","Event Processing","Knowledge Graphs","Feature Stores","Evaluation Frameworks","Prompt Injection","Sandboxing","Supply Chain Security","Error Budgets","Chaos Engineering","Game Days",{"ai\u002Fml":29,"tech lead":5,"governance":29,"ai security":29,"rag systems":29,"architecture":5,"sre practices":29,"system design":5,"data pipelines":29,"cloud platforms":29,"agentic harnesses":29,"analytics systems":29,"genai applications":29,"backend engineering":5,"software engineering":5,"evaluation frameworks":29,"production operations":5,"reliability engineering":5},[100,101,102,103,104,105,106,107,108,109,110,111,112,91,113,114,115,116],"Software Engineering","Backend Engineering","Tech Lead","System Design","Architecture","Production Operations","Reliability Engineering","AI\u002FML","GenAI Applications","Agentic Harnesses","RAG Systems","Data Pipelines","Analytics Systems","SRE Practices","Cloud Platforms","AI Security","Governance",1,{"id":119,"slug":120,"title":121,"raw_title":11,"is_featured":12,"company":122,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":123,"processed_country_iso_code_gmaps":124,"processed_home_office":20,"processed_salary_min":125,"processed_salary_max":126,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":127,"processed_employment_types":27,"processed_it_skills":128,"processed_it_skills_labels":129,"processed_job_expertise_skills":136,"processed_job_expertise_skills_labels":137,"max_cpc":117,"actual_cpc":117},83762,"sr-staff-ai-engineer-ai-agent-platform-agent-evaluation-harness-government-employees-insurance-company","Sr. Staff AI Engineer, AI Agent Platform (Agent & Evaluation Harness)",{"name":14,"slug":15,"logo_url":11},[17],[19],115000,260000,[26],{"mcp":5,"rag":5,"python":5,"deepeval":29,"langfuse":29,"langgraph":29,"langsmith":29,"api design":5,"braintrust":29,"google adk":29,"inspect ai":29,"azure openai":29,"arize phoenix":29,"amazon bedrock":29,"claude agent sdk":29,"openai agents sdk":29,"distributed systems":5,"microsoft agent framework":29,"llms (gpt, claude, llama, qwen)":5},[31,130,76,75,56,57,58,59,131,67,68,69,70,132,133,134,135,36,37],"LLMs (GPT, Claude, Llama, Qwen)","Google ADK","Inspect AI","DeepEval","Azure OpenAI","Amazon Bedrock",{"mentoring":5,"ai security":29,"tool calling":5,"ml engineering":5,"responsible ai":29,"agentic systems":5,"applied science":5,"prompt engineering":5,"agent architectures":5,"context engineering":5,"distributed systems":5,"experimental design":5,"software engineering":5,"statistical analysis":5,"technical leadership":5,"evaluation methodology":5,"genai application development":5},[100,138,139,140,141,142,143,144,145,146,147,148,36,149,150,115,151],"ML Engineering","Applied Science","GenAI Application Development","Agentic Systems","Prompt Engineering","Context Engineering","Tool Calling","Agent Architectures","Evaluation Methodology","Experimental Design","Statistical Analysis","Technical Leadership","Mentoring","Responsible AI",{"id":153,"slug":154,"title":155,"raw_title":11,"is_featured":12,"company":156,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":157,"processed_country_iso_code_gmaps":159,"processed_home_office":20,"processed_salary_min":160,"processed_salary_max":161,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":162,"processed_employment_types":27,"processed_it_skills":163,"processed_it_skills_labels":164,"processed_job_expertise_skills":165,"processed_job_expertise_skills_labels":166,"max_cpc":117,"actual_cpc":117},83780,"senior-software-engineer-ai-agent-platform-government-employees-insurance-company","Senior Software Engineer, AI Agent Platform",{"name":14,"slug":15,"logo_url":11},[158],"Palo Alto",[19],105000,230000,[26],{"go":5,"aws":29,"dbos":29,"java":5,"azure":29,"ci\u002Fcd":5,"kafka":29,"vespa":29,"python":5,"datadog":29,"grafana":29,"restate":29,"langfuse":29,"temporal":29,"langgraph":29,"langsmith":29,"braintrust":29,"kubernetes":5,"opensearch":29,"prometheus":29,"arize phoenix":29,"opentelemetry":29,"azure ai search":29,"claude agent sdk":29,"openai agents sdk":29,"aws step functions":29,"azure durable task":29,"distributed systems":5,"amazon bedrock agentcore":29,"microsoft agent framework":29,"microsoft foundry agent service":29},[31,32,33,34,35,36,55,50,51,52,53,54,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74],{"sdks":29,"slis":5,"slos":5,"on-call":5,"game days":29,"api design":5,"governance":29,"ai security":29,"concurrency":5,"consistency":5,"postmortems":5,"rag systems":29,"scalability":5,"data modeling":5,"error budgets":29,"observability":5,"sre practices":29,"data pipelines":29,"feature stores":29,"fault tolerance":5,"knowledge graphs":29,"agentic workflows":29,"capacity planning":5,"chaos engineering":29,"incident response":5,"genai applications":29,"performance tuning":5,"backend engineering":5,"distributed systems":5,"evaluation frameworks":29,"multi-tenant services":29,"monitoring and alerting":5,"event-driven architectures":29},[101,36,37,38,41,40,39,167,42,43,45,46,48,49,47,168,44,110,79,108,91,83,84,82,111,89,90,115,116,113,96,95,97],"Consistency","SLIs",{"id":170,"slug":171,"title":172,"raw_title":11,"is_featured":12,"company":173,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":174,"processed_country_iso_code_gmaps":175,"processed_home_office":20,"processed_salary_min":176,"processed_salary_max":177,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":178,"processed_employment_types":27,"processed_it_skills":179,"processed_it_skills_labels":180,"processed_job_expertise_skills":204,"processed_job_expertise_skills_labels":205,"max_cpc":117,"actual_cpc":215},83771,"distinguished-engineer-ai-applications-government-employees-insurance-company","Distinguished Engineer, AI Applications",{"name":14,"slug":15,"logo_url":11},[158],[19],210000,350000,[26],{"aws":5,"rag":5,"ray":5,"sql":29,"llms":5,"azure":5,"ci\u002Fcd":5,"kafka":5,"spark":5,"milvus":5,"python":5,"qdrant":5,"airflow":5,"prefect":5,"pinecone":5,"temporal":5,"weaviate":5,"langchain":5,"langsmith":5,"snowflake":5,"kubernetes":5,"llamaindex":5,"arize phoenix":5,"elasticsearch":5,"generative ai":5,"opentelemetry":5,"feature stores":5,"nosql databases":5,"vector databases":5,"weights & biases":5,"agentic frameworks":5,"embedding pipelines":5,"multi-agent systems":5,"relational databases":5},[31,181,182,183,184,185,186,187,188,55,189,190,191,50,192,193,194,68,70,195,63,35,34,72,71,196,197,76,198,199,200,201,202,203],"SQL","Elasticsearch","Qdrant","Milvus","Pinecone","Weaviate","Snowflake","NoSQL databases","Spark","Ray","Airflow","Prefect","LangChain","LlamaIndex","Weights & Biases","LLMs","Generative AI","Agentic frameworks","Multi-agent systems","Vector databases","Embedding pipelines","Feature stores","Relational databases",{"roadmapping":5,"system design":5,"technical strategy":5,"production operations":5,"technology evaluation":5,"build vs. buy analysis":5,"enterprise architecture":5,"business impact assessment":5,"ai\u002Fml platform architecture":5,"software development lifecycle":5,"generative ai application development":5},[206,207,208,209,103,210,211,105,212,213,214],"Enterprise Architecture","AI\u002FML Platform Architecture","Generative AI Application Development","Technical Strategy","Technology Evaluation","Software Development Lifecycle","Build vs. Buy Analysis","Roadmapping","Business Impact Assessment",0.5,{"industry":217,"employment_type":221,"expertise_skills":224,"it_skills":279,"salary_currency":339,"processed_working_hours":341},[218],{"key":219,"label":220,"count":5},"insurance","Insurance",[222],{"key":27,"label":223,"count":5},"PERMANENT",[225,228,232,235,237,239,241,243,246,248,250,252,254,256,259,261,263,265,267,269,271,273,275,277],{"key":226,"label":227,"slug":226,"count":29},"ai-security","Ai Security",{"key":229,"label":230,"slug":229,"count":231},"sre-practices","Sre Practices",2,{"key":233,"label":234,"slug":233,"count":231},"rag-systems","Rag Systems",{"key":236,"label":103,"slug":236,"count":231},"system-design",{"key":238,"label":100,"slug":238,"count":231},"software-engineering",{"key":240,"label":116,"slug":240,"count":231},"governance",{"key":242,"label":91,"slug":242,"count":231},"evaluation-frameworks",{"key":244,"label":245,"slug":244,"count":231},"genai-applications","Genai Applications",{"key":247,"label":36,"slug":247,"count":231},"distributed-systems",{"key":249,"label":105,"slug":249,"count":231},"production-operations",{"key":251,"label":101,"slug":251,"count":231},"backend-engineering",{"key":253,"label":111,"slug":253,"count":231},"data-pipelines",{"key":255,"label":102,"slug":255,"count":117},"tech-lead",{"key":257,"label":258,"slug":257,"count":117},"monitoring-and-alerting","Monitoring And Alerting",{"key":260,"label":209,"slug":260,"count":117},"technical-strategy",{"key":262,"label":104,"slug":262,"count":117},"architecture",{"key":264,"label":214,"slug":264,"count":117},"business-impact-assessment",{"key":266,"label":45,"slug":266,"count":117},"incident-response",{"key":268,"label":148,"slug":268,"count":117},"statistical-analysis",{"key":270,"label":95,"slug":270,"count":117},"error-budgets",{"key":272,"label":139,"slug":272,"count":117},"applied-science",{"key":274,"label":40,"slug":274,"count":117},"fault-tolerance",{"key":276,"label":141,"slug":276,"count":117},"agentic-systems",{"key":278,"label":150,"slug":278,"count":117},"mentoring",[280,282,284,287,290,293,296,298,301,304,306,309,311,313,316,318,321,322,324,327,330,332,334,336],{"key":281,"label":31,"slug":281,"count":5},"python",{"key":283,"label":70,"slug":283,"count":5},"arize-phoenix",{"key":285,"label":286,"slug":285,"count":5},"langsmith","Langsmith",{"key":288,"label":289,"slug":288,"count":29},"rag","Rag",{"key":291,"label":292,"slug":291,"count":29},"ms-azure","MS Azure",{"key":294,"label":295,"slug":294,"count":29},"claude-agent-sdk","Claude Agent Sdk",{"key":297,"label":57,"slug":297,"count":29},"microsoft-agent-framework",{"key":299,"label":300,"slug":299,"count":29},"langgraph","Langgraph",{"key":302,"label":303,"slug":302,"count":29},"opentelemetry","Opentelemetry",{"key":305,"label":69,"slug":305,"count":29},"braintrust",{"key":307,"label":308,"slug":307,"count":29},"cicd","Ci\u002FCd",{"key":310,"label":67,"slug":310,"count":29},"langfuse",{"key":312,"label":34,"slug":312,"count":29},"kubernetes",{"key":314,"label":315,"slug":314,"count":29},"aws","Aws",{"key":317,"label":50,"slug":317,"count":29},"temporal",{"key":319,"label":320,"slug":319,"count":29},"openai-agents-sdk","Openai Agents Sdk",{"key":247,"label":36,"slug":247,"count":29},{"key":323,"label":55,"slug":323,"count":29},"kafka",{"key":325,"label":326,"slug":325,"count":231},"mcp","Mcp",{"key":328,"label":329,"slug":328,"count":231},"opensearch","Opensearch",{"key":331,"label":66,"slug":331,"count":231},"datadog",{"key":333,"label":51,"slug":333,"count":231},"restate",{"key":335,"label":62,"slug":335,"count":231},"vespa",{"key":337,"label":338,"slug":337,"count":231},"api-design","Api Design",[340],{"key":23,"label":23,"count":5},[342],{"key":26,"label":26,"count":5},{"total":117,"jobs":344},[345],{"id":346,"slug":347,"title":348,"raw_title":11,"is_featured":349,"company":350,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":354,"processed_country_iso_code_gmaps":356,"processed_home_office":358,"processed_salary_min":359,"processed_salary_max":360,"processed_salary_currency":361,"processed_salary_source":11,"processed_working_hours":362,"processed_employment_types":223,"processed_it_skills":364,"processed_it_skills_labels":11,"processed_job_expertise_skills":365,"processed_job_expertise_skills_labels":366,"max_cpc":373,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":351,"slug":352,"logo_url":353},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[355],"Frankfurt am Main",[357],"DE","HYBRID",45000,65000,"EUR",[363],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[367,368,369,370,371,372],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]