AI Agent Engineer

📋 Description

• Design and operate next-generation retrieval pipelines with adaptive, self-correcting, and
• Architect Agentic RAG systems with dynamic retrieval control, query decomposition, iterate
• Collaborate with researchers and engineers on model-capability-driven innovations including context
• Work on harnessing agent tools in production, balancing research ideas with shipping prototypes and

🎯 Requirements

• 1+ Year hands-on experience with LLM, RAG, and AI agent systems in production.
• Experience building production retrieval pipelines end-to-end—embedding models, vector stores
• Hands-on with Agent Harness runtimes (Pi Agent, AgentScope 2.0 or equivalent): session recovery
• Deep familiarity with LLM & Agent fundamentals: APIs, memory, tools, reasoning, planning
• Independent research capability; ability to translate ideas into runnable prototypes with rapid
• Power user of agent products; strong judgment about model behavior; AI-native engineering mindset.

🎁 Benefits

• Nice-to-have: experience with agent products (Claude Code, OpenClaw, Cowork, Manus) and RAG
• GraphRAG/knowledge graph-augmented retrieval experience; Pi Agent/AgentScope 2.0 or other Agent
• Kubernetes/EKS: pod isolation, resource management, secrets handling; security engineering: prompt