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AI Engineer
Mitchell Martin, Inc.Charlotte, NC🇺🇸United StatesPosted 11 Aug 2026
Quick Overview
Salary
$45 - $65/hr
Work Type
On Site
Level
Mid Senior
Job Description
Title: AI Engineer with Copilot Studio
Location: Charlotte, NC
Employment Type: Contract | Hybrid (Min 3 Days Onsite)
Compensation:
Pay Range: $45.27-$64.67 Per HR
Job Summary:
• A major financial services firm seeks a senior AI Engineer to design, develop, and deploy production-grade agentic AI systems.
• This role is centered on next-generation AI solutions powered by retrieval-augmented generation (RAG) and modern orchestration frameworks, with a strong governance component.
Required:
• Master''s degree in Computer Science, AI, ML, or related field
• Strong Python proficiency; experience building scalable AI/ML systems and APIs/microservices
• Hands-on Copilot Studio experience (key differentiator)
• Agentic AI frameworks: LangGraph, Model Context Protocol (MCP)
• Advanced RAG architectures including Graph RAG
• LLM orchestration: LangChain, LlamaIndex
• Vector databases (FAISS, Pinecone, Weaviate, Azure AI Search)
• Model Risk Management (MRM): governance, validation, explainability, bias detection, monitoring
• Deploying containerized applications on OpenShift/Kubernetes with CI/CD
• Vulnerability remediation in Python dependencies and container images
Preferred:
• ML frameworks: PyTorch, TensorFlow, Scikit-learn
• Agent memory architectures (short-term, long-term, episodic)
• AI safety and alignment techniques: guardrails, human-in-the-loop, bias mitigation
• Angular front-end integration
Contact Authorization:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here
Benefits:
Learn more about our benefits offerings here
Onboarding Expectations:
Learn more about our Onboarding Process here
EEO Statement:
Learn more about our EEO policy here
#LI-MJ1
Location: Charlotte, NC
Employment Type: Contract | Hybrid (Min 3 Days Onsite)
Compensation:
Pay Range: $45.27-$64.67 Per HR
Job Summary:
• A major financial services firm seeks a senior AI Engineer to design, develop, and deploy production-grade agentic AI systems.
• This role is centered on next-generation AI solutions powered by retrieval-augmented generation (RAG) and modern orchestration frameworks, with a strong governance component.
Required:
• Master''s degree in Computer Science, AI, ML, or related field
• Strong Python proficiency; experience building scalable AI/ML systems and APIs/microservices
• Hands-on Copilot Studio experience (key differentiator)
• Agentic AI frameworks: LangGraph, Model Context Protocol (MCP)
• Advanced RAG architectures including Graph RAG
• LLM orchestration: LangChain, LlamaIndex
• Vector databases (FAISS, Pinecone, Weaviate, Azure AI Search)
• Model Risk Management (MRM): governance, validation, explainability, bias detection, monitoring
• Deploying containerized applications on OpenShift/Kubernetes with CI/CD
• Vulnerability remediation in Python dependencies and container images
Preferred:
• ML frameworks: PyTorch, TensorFlow, Scikit-learn
• Agent memory architectures (short-term, long-term, episodic)
• AI safety and alignment techniques: guardrails, human-in-the-loop, bias mitigation
• Angular front-end integration
Contact Authorization:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here
Benefits:
Learn more about our benefits offerings here
Onboarding Expectations:
Learn more about our Onboarding Process here
EEO Statement:
Learn more about our EEO policy here
#LI-MJ1
Skills
Microservices
Scikit-learn
Angular
Azure
Kubernetes
LLM
PyTorch
Python
TensorFlow
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