Posted on 2026/01/23
Data Scientist with agentic ai and MCP
United Software Group Inc
Seattle, WA, United States
Qualifications
- Bachelor's or Master’s in Computer Science, Computational Linguistics, Data Science, or a related quantitative field.7+ years of experience in data science / NLP / converasational AI, with 3+ years in Azure Databricks or equivalent distributed compute environment
- Proven experience in designing Multi-Agent orchestration system, autonomous reasoning, MCP protocol, LLM-driven systems using OpenAI, Azure OpenAI, Hugging Face, or similar APIs
- KNowledge inn LAngGraph/ CrewAI / Auto Gen / Semantic Kernel
- expertise in Python, PySpark, LangChain/LangGraph, Transformers, and vector databases (e.g., Milvus, Weaviate, FAISS, or CosmosDB vector search)
- Strong background in RAG pipeline development, prompt engineering, and LLM fine-tuning / PEFT / LoRA
- Experience integrating models through MLflow, Azure ML, and AKS for deployment
- Understanding of semantic search, embedding models, knowledge graphs, and retrieval fusion
- Excellent communication and documentation skills; proven ability to translate AI concepts into production systems.
Full Description
Required Qualifications
Bachelor's or Master’s in Computer Science, Computational Linguistics, Data Science, or a related quantitative field.7+ years of experience in data science / NLP / converasational AI, with 3+ years in Azure Databricks or equivalent distributed compute environment.
Proven experience in designing Multi-Agent orchestration system, autonomous reasoning, MCP protocol, LLM-driven systems using OpenAI, Azure OpenAI, Hugging Face, or similar APIs.
KNowledge inn LAngGraph/ CrewAI / Auto Gen / Semantic Kernel. expertise in Python, PySpark, LangChain/LangGraph, Transformers, and vector databases (e.g., Milvus, Weaviate, FAISS, or CosmosDB vector search).
Strong background in RAG pipeline development, prompt engineering, and LLM fine-tuning / PEFT / LoRA.
Experience integrating models through MLflow, Azure ML, and AKS for deployment.
Understanding of semantic search, embedding models, knowledge graphs, and retrieval fusion.
Excellent communication and documentation skills; proven ability to translate AI concepts into production systems..

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