Summary

What you'll do

1. Responsible for the design and development of the Agent application architecture based on large models, creating intelligent assistants, task-based Agents, AI Copilots and other systems for actual business scenarios;
2. Responsible for the design, development and optimization of core modules such as RAG, Tool Calling, Workflow, Memory, and multi-Agent collaboration;
3. Promote the deep integration of large model capabilities with business systems, completing the entire closed loop from prototype verification to online delivery;
4. Responsible for the engineering construction of AI applications, including model integration, service governance, effect evaluation, performance optimization, cost control and stability guarantee;
5. Track the development of Cursor, Claude Code, OpenClaw/OpenHands and mainstream Agent/AI Coding technologies, and explore their implementation methods in R&D efficiency improvement and business scenarios.

What you'll need

1. Bachelor’s degree or higher in Accounting, Finance, Auditing, or related discipline.
2. Bachelor's degree or above, with more than 3 years of relevant R&D experience;
3. Strong experience in designing and implementing Agent/Chatbot/AI application architectures;
4. Familiar with mainstream LLM application paradigms such as Prompt, RAG, Agent, Function Calling, Memory, and workflow orchestration;
5. Familiar with Cursor, Claude Code, and mainstream open-source Agent/Coding Agent ecosystems, with practical understanding of code agents, task execution, context management, tool invocation, and feedback loops;
6. Proficient in at least one programming language such as Python, Java, or TypeScript, with solid backend engineering skills;
7. Have experience in implementing complex business scenarios, and possess strong problem analysis, system design, and cross-team collaboration capabilities.

Bonus points

1. Have project experience in AI Coding, Research Assistant, Code Generation, Automated Code Merging, Code Review Agent, etc.;
2. Familiar with frameworks or ecosystems such as OpenClaw, OpenHands, AutoGen, LangGraph, CrewAI, and have actual usage or secondary development experience;
3. Candidates with experience in building enterprise-level Agent platforms, Copilot platforms, or AI development platforms from scratch are preferred.

Job Responsibilities:

1. Responsible for the design and development of agent application architecture based on large models, creating intelligent assistants, task-oriented agents, AI Copilot and other systems for real business scenarios;
2. Responsible for the design, development, and optimization of core modules such as RAG, Tool Calling, Workflow, Memory, and multi-agent collaboration;
3. Promote the deep integration of large-scale model capabilities with business systems to complete the entire closed loop from prototype verification to online delivery;
4. Responsible for the engineering development of AI applications, including model access, service governance, effect evaluation, performance optimization, cost control and stability assurance;
5. Track the development of Cursor, Claude Code, OpenClaw/OpenHands, and mainstream Agent/AI Coding technologies, and explore their application in R&D efficiency improvement and business scenarios.

Job requirements:

1. Bachelor's degree or above, with 3-5 years of work experience in the payment industry or related fields.
2. Bachelor's degree or above, with more than 3 years of relevant R&D experience;
3. Possesses strong experience in the design and implementation of Agent/Chatbot/AI application architectures;
4. Familiar with mainstream LLM application paradigms such as Prompt, RAG, Agent, Function Calling, Memory, and workflow orchestration;
5. Familiar with Cursor, Claude Code, and the mainstream open-source Agent/Coding Agent ecosystem; possesses practical understanding of code proxy, task execution, context management, tool invocation, and feedback loop.
6. Proficient in at least one programming language such as Python, Java, or TypeScript, and possesses solid backend engineering skills;
7. Has experience in implementing complex business scenarios and possesses strong problem analysis, system design, and cross-team collaboration skills.

Bonus points

1. Has experience in AI Coding, R&D assistant, code generation, automated code modification, code review agent, and other projects;
2. Familiar with frameworks or ecosystems such as OpenClaw, OpenHands, AutoGen, LangGraph, and CrewAI, and have practical experience in their use or secondary development;
3. Those with experience in building enterprise-level agent platforms, Copilot platforms, or AI development platforms from scratch will be given priority.

Skills

• Communications Skills
• Java
• Python
• Software Architecture
• Software Engineering
• Team Collaboration
• TypeScript