[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-2027-fresh-grad-hire-intelligent-rd-and-operations-platform-engineer-moomoo-de-hk":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":10,"featured_until":7,"is_active":11,"deactivated_at":7,"is_enriched":11,"processed_job_posting_json":12,"processed_latitude":83,"processed_longitude":85,"processed_employment_types":87,"processed_working_hours":88,"processed_working_hours_labels":90,"processed_home_office":91,"processed_salary_min":7,"processed_salary_max":7,"processed_salary_currency":92,"processed_salary_source":93,"processed_benefits":94,"processed_benefits_labels":95,"processed_industry":96,"processed_skills":7,"processed_job_location":97,"processed_full_address_gmaps":100,"processed_street_gmaps":103,"processed_city_gmaps":104,"processed_postal_code_gmaps":105,"processed_country_gmaps":106,"processed_country_iso_code_gmaps":108,"full_description":15,"formatted_description":110,"processed_employment_types_labels":34,"processed_home_office_labels":32,"processed_industry_labels":36,"processed_it_skills":111,"processed_it_skills_labels":114,"processed_soft_skills":115,"processed_soft_skills_labels":117,"processed_job_expertise_skills":118,"processed_job_expertise_skills_labels":119,"processed_language_requirements":120,"processed_total_experience_years":129,"processed_professional_field":130,"processed_professional_field_labels":132,"processed_leadership_role":10,"processed_date_posted":18,"raw_job_url":133,"apply_url":7,"raw_hiringOrganization_logo_url":134,"translations":7,"canonical_industry_key":96,"canonical_industry_label":36,"max_cpc":135,"actual_cpc":7},89679,"2027-fresh-grad-hire-intelligent-rd-and-operations-platform-engineer-moomoo","2027 Fresh Grad Hire - Intelligent R&D and Operations Platform Engineer",null,{"name":9,"slug":9,"logo_url":7},"moomoo",false,true,{"@context":13,"@type":14,"title":6,"description":15,"hiringOrganization":16,"datePosted":18,"validThrough":19,"jobLocation":20,"jobLocationType":32,"employmentType":33,"industry":35,"skills":37},"https:\u002F\u002Fschema.org\u002F","JobPosting","As the \"Agent builders\" for Futu's intelligent R&D and operations, we are reshaping the entire R&D and operations lifecycle with AI. By joining us, you will:\nDeeply participate in building the AI Agent for the intelligent R&D and operations platform, constructing intelligent foundational capabilities that span the full chain of requirements development, testing and validation, change control, fault inspection, and recovery.\nParticipate in building the platform's full-chain governance capabilities, enabling tools in the R&D and operations workflow to be orchestrated by AI, AI assets to be managed in a structured manner, and the entire process to be auditable, secure, and controllable.\nParticipate in the integration of large models with R&D and operations data — for example, exploring AI-driven anomaly alerting, automated root cause analysis, and intelligent remediation loops on top of petabyte-scale observability data and massive R&D process data, driving R&D and operations scenarios to evolve from \"passive tools\" into a \"one-stop intelligent work platform.\"\nResponsibilities\nTake ownership of the design and development of the AI Agent module for the intelligent R&D and operations platform, supporting core scenarios such as automated development, testing and validation, risk inspection, system operations, anomaly root cause localization, and fault remediation.\nDeeply break down pain points in R&D and operations scenarios, abstract business requirements into standardized Agent capabilities, and drive model selection, prompt optimization, retrieval tuning, and toolchain implementation to achieve end-to-end closed loops.\nBuild the Agent evaluation and quality assurance system, including evaluation set design, metric system development, regression testing, and online quality monitoring, continuously optimizing Agent success rate, latency, and token cost.\nParticipate in building Agent reliability — observability, fault tolerance and degradation, permission isolation, prompt injection protection, and operation auditing — to ensure the secure and stable operation of online Agents.\nCollaborate closely with product, algorithm, and frontend teams to ensure timely, high-quality delivery of Agent capabilities; write technical documentation, participate in code reviews, and drive the adoption of engineering standards.\nContinuously track cutting-edge technologies such as large models, Agent frameworks, and RAG to enhance the platform's technical sophistication and development efficiency.\nEnglish & Chinese as working languages: fluent reading and writing; able to read English regulations and standards documents, and to conduct day-to-day email and meeting communication in English.\nBachelor's degree or above in Computer Science or a related field.\nDeep understanding of fundamentals including computer networks, operating systems, data structures, and algorithms; proficiency in at least one of Go\u002FRust\u002FC\u002FJava; familiarity with common storage and middleware such as MySQL, Redis, and Kafka, with strong data modeling skills.\nUnderstanding of the fundamental characteristics of large models (context window, tokens, temperature, hallucination, structured output); ability to use mainstream model APIs, Agent SDKs, and prompt templates for basic development; mastery of Function Calling, simple workflow orchestration, RAG, and session state management. Ability to build small evaluation sets from samples and identify issues at the level of prompts, models, retrieval, or tool calling.\nSecurity awareness regarding data privacy, key protection, permission boundaries, and sensitive information handling.\nFluent English listening and speaking skills; ability to conduct work meetings, cross-team collaboration, and technical communication in English.\nA high sense of responsibility and self-motivation; strong communication and teamwork skills; ability to independently deliver projects of moderate complexity.\nPassion for technology and self-driven; continuously delve into and explore new domains, with strong technical sensitivity, risk identification ability, and a holistic perspective.\nPreferred Qualifications\nDevelopment or internship experience in AI Agents, LLM applications, RAG systems, or DevOps-related projects.\nFamiliarity with Agent frameworks such as LangChain and LlamaIndex, or hands-on experience in large model fine-tuning and model accuracy evaluation.\nContributions to open-source communities, or technical blogs or papers in related fields.\n*Open to candidates graduating between January 2026 and August 2027.",{"@type":17,"name":9},"Organization","2026-10-22","2027-10-22",[21],{"@type":22,"address":23,"geo":28},"Place",{"@type":24,"addressLocality":25,"addressCountry":26,"addressRegion":27},"PostalAddress","Shenzhen","HK","Guangdong",{"@type":29,"latitude":30,"longitude":31},"GeoCoordinates",22.3193039,114.1693611,"ONSITE",[34],"PERMANENT",[36],"Financial Technology",[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],"Go","Rust","C","Java","MySQL","Redis","Kafka","Large Language Models (LLMs)","Agent SDKs","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Function Calling","Workflow Orchestration","Session State Management","LangChain","LlamaIndex","Model Fine-tuning","Model Evaluation","Communication","Teamwork","Responsibility","Self-motivation","Technical Sensitivity","Risk Identification","Holistic Perspective","AI Agent Development","Intelligent R&D and Operations","Full-chain Governance","Observability Data Analysis","Anomaly Detection","Root Cause Analysis","Automated Remediation","Evaluation Set Design","Metric System Development","Regression Testing","Online Quality Monitoring","Reliability Engineering","Security Awareness","Data Privacy","Key Protection","Permission Boundaries","Sensitive Information Handling","Technical Documentation","Code Reviews","Engineering Standards",[30,84],22.5428599,[31,86],114.05956,"permanent",[89],"FULL_TIME",[89],"onsite","HKD","original",[],[],"financial technology",[98,99],"moomoo, hong kong, hong kong","moomoo, shenzhen, china",[101,102],"Hongkong","Shenzhen, Guangdong, China",[],[25],[],[101,107],"China",[26,109],"CN","As the \"Agent builders\" for Futu's intelligent R&D and operations, we are reshaping the entire R&D and operations lifecycle with AI. By joining us, you will:\n\n- Deeply participate in building the AI Agent for the intelligent R&D and operations platform, constructing intelligent foundational capabilities that span the full chain of requirements development, testing and validation, change control, fault inspection, and recovery.\n- Participate in building the platform's full-chain governance capabilities, enabling tools in the R&D and operations workflow to be orchestrated by AI, AI assets to be managed in a structured manner, and the entire process to be auditable, secure, and controllable.\n- Participate in the integration of large models with R&D and operations data — for example, exploring AI-driven anomaly alerting, automated root cause analysis, and intelligent remediation loops on top of petabyte-scale observability data and massive R&D process data, driving R&D and operations scenarios to evolve from \"passive tools\" into a \"one-stop intelligent work platform.\"\n\n## Responsibilities\n\n- Take ownership of the design and development of the AI Agent module for the intelligent R&D and operations platform, supporting core scenarios such as automated development, testing and validation, risk inspection, system operations, anomaly root cause localization, and fault remediation.\n- Deeply break down pain points in R&D and operations scenarios, abstract business requirements into standardized Agent capabilities, and drive model selection, prompt optimization, retrieval tuning, and toolchain implementation to achieve end-to-end closed loops.\n- Build the Agent evaluation and quality assurance system, including evaluation set design, metric system development, regression testing, and online quality monitoring, continuously optimizing Agent success rate, latency, and token cost.\n- Participate in building Agent reliability — observability, fault tolerance and degradation, permission isolation, prompt injection protection, and operation auditing — to ensure the secure and stable operation of online Agents.\n- Collaborate closely with product, algorithm, and frontend teams to ensure timely, high-quality delivery of Agent capabilities; write technical documentation, participate in code reviews, and drive the adoption of engineering standards.\n- Continuously track cutting-edge technologies such as large models, Agent frameworks, and RAG to enhance the platform's technical sophistication and development efficiency.\n- English & Chinese as working languages: fluent reading and writing; able to read English regulations and standards documents, and to conduct day-to-day email and meeting communication in English.\n- Bachelor's degree or above in Computer Science or a related field.\n- Deep understanding of fundamentals including computer networks, operating systems, data structures, and algorithms; proficiency in at least one of Go\u002FRust\u002FC\u002FJava; familiarity with common storage and middleware such as MySQL, Redis, and Kafka, with strong data modeling skills.\n- Understanding of the fundamental characteristics of large models (context window, tokens, temperature, hallucination, structured output); ability to use mainstream model APIs, Agent SDKs, and prompt templates for basic development; mastery of Function Calling, simple workflow orchestration, RAG, and session state management. 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