AI Harness工程师_XC
Core
Design and deploy enterprise AI Agent solutions (knowledge assistants, smart customer service, data analysis) and build the underlying technical infrastructure for orchestration, RAG, and tool integration.
Role type
Senior AI Agent Solutions Engineer (Enterprise)
Builds
Production-ready AI Agent applications and enterprise-grade orchestration frameworks
Domain
Enterprise AI / Large Language Models (LLM) / RAG
Deliverable
production ML models | product features
Required skills
LLM application development, Prompt Engineering, RAG implementation, Agent orchestration, Python/Java/Go/Node.js, Vector databases, API integration, System integration
Preferred skills
Agent evaluation frameworks, Cost optimization, CI/CD for AI, Multi-agent collaboration
Technologies
LangChain, LlamaIndex, LangGraph, Dify, Coze, FastGPT, AutoGen, CrewAI, Semantic Kernel, Milvus, pgvector, Kafka, Elasticsearch
Responsibilities
Identify high-value business scenarios for AI Agent deployment, design end-to-end solutions from PoC to production, build and optimize RAG capabilities, integrate Agents with existing enterprise systems, establish evaluation and observability mechanisms, deliver technical documentation and training
Seniority
Senior, hands-on IC
