[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-2027-fresh-grad-hire-ai-agent-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":81,"processed_longitude":83,"processed_employment_types":85,"processed_working_hours":86,"processed_working_hours_labels":88,"processed_home_office":89,"processed_salary_min":7,"processed_salary_max":7,"processed_salary_currency":90,"processed_salary_source":91,"processed_benefits":92,"processed_benefits_labels":93,"processed_industry":94,"processed_skills":7,"processed_job_location":95,"processed_full_address_gmaps":98,"processed_street_gmaps":101,"processed_city_gmaps":102,"processed_postal_code_gmaps":103,"processed_country_gmaps":104,"processed_country_iso_code_gmaps":106,"full_description":15,"formatted_description":108,"processed_employment_types_labels":34,"processed_home_office_labels":32,"processed_industry_labels":36,"processed_it_skills":109,"processed_it_skills_labels":112,"processed_soft_skills":113,"processed_soft_skills_labels":115,"processed_job_expertise_skills":116,"processed_job_expertise_skills_labels":117,"processed_language_requirements":118,"processed_total_experience_years":127,"processed_professional_field":128,"processed_professional_field_labels":130,"processed_leadership_role":10,"processed_date_posted":18,"raw_job_url":131,"apply_url":7,"raw_hiringOrganization_logo_url":132,"translations":7,"canonical_industry_key":94,"canonical_industry_label":36,"max_cpc":133,"actual_cpc":7},89667,"2027-fresh-grad-hire-ai-agent-engineer-moomoo","2027 Fresh Grad Hire - AI Agent 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","About Us\n \nFutu's AI team is dedicated to integrating artificial intelligence into financial services to build more efficient and intelligent products and services.\nThe team covers core areas including quantitative research, robo-advisory, search and recommendation systems, Q&A, content generation, and AI platform development.\nWe are looking for talents who are passionate about AI and innovation to join us in exploring the future of AI + Finance. \nResponsibilities\nParticipate in the design, development, testing, and optimization of AI Agent systems. Implement core Agent capabilities based on large language models, including task planning, tool calling, knowledge retrieval, and memory management.\nParticipate in the development and application of capabilities such as RAG, knowledge bases, Function Calling, MCP, and workflow orchestration.\nAssist in integrating databases, internal enterprise systems, and third-party APIs to drive the deployment of AI Agents in real-world business scenarios.\nParticipate in Agent performance evaluation and optimization to improve task completion quality, response efficiency, and system stability.\nParticipate in the development and optimization of modules including prompts, context management, model invocation, and exception handling.\nLearn about and keep up with technologies related to large language models and AI Agents, and participate in the validation and application of new technologies.\nBachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.\nSolid programming fundamentals; familiarity with Python; understanding of common data structures, algorithms, and backend development basics.\nInterest in areas such as large language models, RAG, and AI Agents, with some hands-on learning or project experience.\nFamiliarity with one or more frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen is preferred.\nFamiliarity with related technologies such as Embeddings, vector databases, and document retrieval is preferred.\nFamiliarity with common development tools such as Git and Linux; understanding of Docker, databases, and caching technologies is preferred.\nStrong learning ability, systems thinking, and problem analysis and resolution skills; a strong sense of responsibility and self-motivation; good communication and collaboration skills.\nExperience with large model applications, Agents, RAG, open-source projects, coursework projects, or related internships is preferred.\nExcellent English & Chinese listening, speaking, reading, and writing skills; ability to read English technical documentation and to communicate with external vendors in English for day-to-day and technical coordination.\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 Services",[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],"Python","Data Structures","Algorithms","Backend Development","LangChain","LangGraph","LlamaIndex","Semantic Kernel","AutoGen","Embeddings","Vector Databases","Document Retrieval","Git","Linux","Docker","Databases","Caching Technologies","RAG","Function Calling","MCP","Workflow Orchestration","Learning Ability","Systems Thinking","Problem Analysis and Resolution","Sense of Responsibility","Self-Motivation","Communication","Collaboration","AI Agent Systems Design","AI Agent Development","AI Agent Testing","AI Agent Optimization","Task Planning","Tool Calling","Knowledge Retrieval","Memory Management","Large Language Models","Prompt Engineering","Context Management","Model Invocation","Exception Handling","API Integration","Performance Evaluation",[30,82],22.5428599,[31,84],114.05956,"permanent",[87],"FULL_TIME",[87],"onsite","HKD","original",[],[],"financial services",[96,97],"moomoo, hong kong, hong kong","moomoo, shenzhen, china",[99,100],"Hongkong","Shenzhen, Guangdong, China",[],[25],[],[99,105],"China",[26,107],"CN","## About Us\n\nFutu's AI team is dedicated to integrating artificial intelligence into financial services to build more efficient and intelligent products and services.\n\nThe team covers core areas including quantitative research, robo-advisory, search and recommendation systems, Q&A, content generation, and AI platform development.\n\nWe are looking for talents who are passionate about AI and innovation to join us in exploring the future of AI + Finance.\n\n## Responsibilities\n\n- Participate in the design, development, testing, and optimization of AI Agent systems. Implement core Agent capabilities based on large language models, including task planning, tool calling, knowledge retrieval, and memory management.\n- Participate in the development and application of capabilities such as RAG, knowledge bases, Function Calling, MCP, and workflow orchestration.\n- Assist in integrating databases, internal enterprise systems, and third-party APIs to drive the deployment of AI Agents in real-world business scenarios.\n- Participate in Agent performance evaluation and optimization to improve task completion quality, response efficiency, and system stability.\n- Participate in the development and optimization of modules including prompts, context management, model invocation, and exception handling.\n- Learn about and keep up with technologies related to large language models and AI Agents, and participate in the validation and application of new technologies.\n\n- Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.\n- Solid programming fundamentals; familiarity with Python; understanding of common data structures, algorithms, and backend development basics.\n- Interest in areas such as large language models, RAG, and AI Agents, with some hands-on learning or project experience.\n- Familiarity with one or more frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen is preferred.\n- Familiarity with related technologies such as Embeddings, vector databases, and document retrieval is preferred.\n- Familiarity with common development tools such as Git and Linux; understanding of Docker, databases, and caching technologies is preferred.\n- Strong learning ability, systems thinking, and problem analysis and resolution skills; a strong sense of responsibility and self-motivation; good communication and collaboration skills.\n- Experience with large model applications, Agents, RAG, open-source projects, coursework projects, or related internships is preferred.\n- Excellent English & Chinese listening, speaking, reading, and writing skills; ability to read English technical documentation and to communicate with external vendors in English for day-to-day and technical coordination.\n\n*Open to candidates graduating between January 2026 and August 2027.",{"git":110,"mcp":110,"rag":110,"linux":110,"docker":110,"python":111,"autogen":110,"databases":110,"langchain":110,"langgraph":110,"algorithms":111,"embeddings":110,"llamaindex":110,"data structures":111,"semantic kernel":110,"function calling":110,"vector databases":110,"document retrieval":110,"backend development":110,"caching technologies":110,"workflow orchestration":110},2,3,[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58],{"learning ability":114,"systems thinking":111,"problem analysis and resolution":111,"sense of responsibility":114,"self-motivation":114,"communication":111,"collaboration":111},4,[59,60,61,62,63,64,65],{"tool calling":110,"task planning":110,"api integration":110,"ai agent testing":110,"model invocation":110,"memory management":110,"context management":110,"exception handling":110,"prompt engineering":110,"knowledge retrieval":110,"ai agent development":110,"ai agent optimization":110,"large language models":110,"performance evaluation":110,"ai agent systems design":110},[66,67,68,69,70,71,72,73,74,75,76,77,78,79,80],{"detected_language_jobad":119,"required":120},"en",[121],[122,125],{"language":123,"level":124},"ENGLISH","C1",{"language":126,"level":124},"CHINESE",0,[129],"Software and Applications Developers and Analysts",[129],"https:\u002F\u002Fapply.workable.com\u002Fmoomoo\u002Fj\u002F6dff218f5e\u002F","https:\u002F\u002Fworkablehr.s3.amazonaws.com\u002Fuploads\u002Faccount\u002Flogo\u002F661829\u002Flogo",1]