Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence

Our team is building the next generation of AI-native risk intelligence systems to address emerging challenges driven by large-scale AIGC content production.As content creation becomes automated and adversaries adopt systematic experimentation (., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient. We are transitioning from monolithic LLM applications to a structured multi-agent architecture that emphasizes:
Tool-augmented reasoning (ReAct-style systems)
Modular skill composition
Execution traceability and observability
Feedback-driven system evolution
Cross-domain risk reasoning
We are seeking an experienced technical leader to define and implement this architecture. Responsibilities
- Architect and Implement Agent Systems
Design structured agent workflows (., Evaluate → Validate → Reflect → Summarize)
Implement ReAct-style tool allocation and reasoning frameworks
Develop short-...