全职 Senior AI Engineer 工作, 薪水, PERSOL Outsourcing 公司招聘中 - Ricebowl

Responsibilities • Build customer-facing AI applications powered by leading LLMs such as Claude, GPT, Llama, Mistral, and other foundation models

• Architect and optimize advanced RAG, Hybrid RAG, Agentic RAG, and Graph RAG solutions

• Develop and maintain scalable data pipelines supporting AI applications and knowledge systems

• Design and implement multi-agent workflows using frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel

• Develop and integrate Model Context Protocol (MCP) servers, tools, and enterprise connectors

• Evaluate AI model performance using observability and evaluation frameworks, improving accuracy, grounding, relevance, and response quality

• Implement prompt engineering strategies, tool calling, structured outputs, workflow orchestration, and AI memory management

• Deploy AI solutions in cloud and enterprise environments using modern DevOps and LLMOps practices

• Collaborate closely with business stakeholders, product teams, architects, and developers to deliver impactful AI-driven solutions

Skills/Requirement

Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field

5+ years of experience designing and implementing AI/ML solutions

Proven experience building and deploying Agentic AI and Generative AI applications

Strong programming expertise in:

• Python

• Java

• Oracle/SQL

Hands-on experience with:

• Large Language Models (LLMs)

• Generative AI

• AI Application Development

• API Integration

• Data Engineering

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Preferred Technical Expertise

Agentic AI & LLM Ecosystem

• LangChain

• LangGraph

• CrewAI

• AutoGen

• Semantic Kernel

• MCP (Model Context Protocol)

• A2A (Agent-to-Agent Communication)

Retrieval & Knowledge Systems

• RAG / Hybrid RAG

• Graph RAG

• Knowledge Graphs

• Neo4j

• Elasticsearch

• Vector Databases (Pinecone, Weaviate, Qdrant, Milvus, ChromaDB, FAISS)

Model Engineering

• Hugging Face

• LoRA / QLoRA / PEFT

• Open-source model fine-tuning

• vLLM

• Ollama

• Model evaluation frameworks (RAGAS, DeepEval, LangSmith, TruLens, Promptfoo)

Cloud & AI Infrastructure

• Azure AI Foundry

• AWS Bedrock

• Google Vertex AI

• Docker

• Kubernetes

• CI/CD Pipelines

Responsible AI & Security

• AI Governance

• Prompt Injection Protection

• AI Safety & Guardrails

• Responsible AI Practices

• Data Privacy & Security

We regret to inform you that only shortlisted candidates will be contacted.

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