AI Agent Developer

Job Overview Lead the development of autonomous AI agents that revolutionize investment workflows and client interactions. You'll build sophisticated multi-agent systems capable of independent research, portfolio optimization, and real-time market analysis, positioning our firm at the forefront of agentic AI in finance.Key ResponsibilitiesDesign and implement autonomous AI agents for investment research, risk assessment, and portfolio management Build multi-agent architectures with specialized roles (research agents, trading agents, compliance agents)Develop agent communication protocols and collaborative workflows for complex financial tasksImplement reinforcement learning systems for adaptive agent behavior in dynamic marketsCreate agent orchestration frameworks managing task delegation, priority queuing, and resource allocationIntegrate agents with existing trading systems, risk management platforms, and client advisory toolsCollaborate with quantitative researchers to embed domain knowledge into agent decision-making processesRequired QualificationsMaster's degree in Computer Science, Artificial Intelligence, or related fieldExperience developing AI/ML systems with focus on autonomous agents or multi-agent systemsStrong background in reinforcement learning, decision theory, and agent-based modelingExperience with LLM-powered agentic frameworks (LangGraph, AutoGen, CrewAI) Proficiency in Python with deep learning frameworks (PyTorch, TensorFlow)Knowledge of distributed systems, message queuing, and microservices architectureUnderstanding of financial markets, trading workflows, or investment management processesTechnical SkillsCore AI: PyTorch, TensorFlow, reinforcement learning libraries (Stable Baselines3, RLLib) Agent Frameworks:LangGraph, AutoGen, multi-agent communication protocolsProgramming: Python, C++, distributed computing, async programmingInfrastructure: Docker, Kubernetes, message queues (Redis, RabbitMQ), microservicesData Processing: Real-time streaming (Kafka, Pulsar), time series databasesFinancial Tools: Trading APIs, market data feeds, portfolio optimization librariesMonitoring: Agent performance tracking, decision audit trails, governance frameworksLocation: BeijingApplication: Interested candidates may click https://chinaamc.zhiye.com/yjszw to create your candidate profile.Or send CV in both Chinese and English version to campus@chinaamc.com, please indicate “Position - School Name - Major - Name” in the email title. For example: AI AgentUCB Finance - Bruce Lee