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Senior AI Engineer (Agentic AI, MCP, RAG)
Ruri Software Technologies LLC
3 hours ago
Full-time
On-site
Dearborn, Michigan, United States
Job Title : Senior AI Engineer (Agentic AI, MCP, RAG)
Location:
Onsite. Dearborn, MI
Experience:
10-15 Years
Job Description:
We are seeking a Senior AI Engineer to design, develop, and deploy next-generation Agentic AI solutions leveraging MCP, RAG, and Python-based AI development frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications Key Responsibilities • Design and develop Agentic AI solutions and autonomous workflows. • Build RAG-based enterprise knowledge systems. • Develop AI agents using LLM orchestration frameworks. • Implement MCP-based integrations and context management. • Engineer prompt strategies and reasoning workflows. • Collaborate with data engineers and business stakeholders. • Evaluate and integrate emerging GenAI technologies. Required Skills • 10+ years of software engineering experience. • Strong proficiency in Python. • Hands-on experience with Large Language Models (LLMs). • Expertise in Agentic AI architectures. • Experience with RAG implementation and vector databases. • Knowledge of MCP (Model Context Protocol). • Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks. • Understanding of AI deployment, monitoring, and governance. Preferred Skills • Experience with Azure OpenAI, OpenAI, Anthropic, or Gemini ecosystems. • Knowledge of MLOps and AI platform engineering. • Automotive domain experience.
Top Skills: AI, LLM, RAG Agentic AI Python, MCP Years of Experience: 8.00 Years of Experience
Regards Surya Surya@rurisoft.com
Location:
Onsite. Dearborn, MI
Experience:
10-15 Years
Job Description:
We are seeking a Senior AI Engineer to design, develop, and deploy next-generation Agentic AI solutions leveraging MCP, RAG, and Python-based AI development frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications Key Responsibilities • Design and develop Agentic AI solutions and autonomous workflows. • Build RAG-based enterprise knowledge systems. • Develop AI agents using LLM orchestration frameworks. • Implement MCP-based integrations and context management. • Engineer prompt strategies and reasoning workflows. • Collaborate with data engineers and business stakeholders. • Evaluate and integrate emerging GenAI technologies. Required Skills • 10+ years of software engineering experience. • Strong proficiency in Python. • Hands-on experience with Large Language Models (LLMs). • Expertise in Agentic AI architectures. • Experience with RAG implementation and vector databases. • Knowledge of MCP (Model Context Protocol). • Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks. • Understanding of AI deployment, monitoring, and governance. Preferred Skills • Experience with Azure OpenAI, OpenAI, Anthropic, or Gemini ecosystems. • Knowledge of MLOps and AI platform engineering. • Automotive domain experience.
Top Skills: AI, LLM, RAG Agentic AI Python, MCP Years of Experience: 8.00 Years of Experience
Regards Surya Surya@rurisoft.com