AI Agent Engineer
Core
Design and operate next-generation Agentic RAG systems, multi-agent architectures, and real-world task execution harnesses for a global blockchain ecosystem.
Role type
Senior IC AI Agent Engineer (Agentic RAG & Harness)
Builds
Adaptive retrieval pipelines, self-correcting multi-hop workflows, and agent orchestration frameworks for digital-asset products.
Domain
Blockchain, Cryptocurrency, AI Agents, RAG
Deliverable
production ML models | product features
Required skills
Agentic RAG engineering, multi-agent orchestration, LLM fundamentals, prompt engineering, independent research capability, rapid prototyping, AI-native engineering
Preferred skills
RAG evaluation (RAGAS, TruLens), GraphRAG, model training/RLHF, Kubernetes/EKS, security engineering
Technologies
BGE, OpenAI, Qdrant, Milvus, Pinecone, Weaviate, Pi Agent, AgentScope 2.0, LiteLLM
Responsibilities
Architect Agentic RAG systems with dynamic retrieval control and iterative loops; implement model-capability-driven innovations like context management and subagent architectures; construct benchmark datasets and define evaluation methodologies; leverage real-world user feedback to improve agent performance.
Seniority
Senior, hands-on IC