AI Engineer
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Role details
Tech stack
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Requirements
Seeking experienced AI Engineers with strong expertise in LLMs, MCP, RAG, Python, Prompt Engineering, and Agentic AI development.
Candidates with experience in Contact Center AI ecosystems, cloud AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI), and enterprise AI application integration will be highly preferred. Experience in Healthcare, multi-agent architectures, vector databases, and conversational AI platforms will be considered a strong advantage.
Location: Preferred Chicago, IL or Dallas, TX (Onsite preferred; Remote considered)
Primary Skillset: AI Engineering with LLMs, MCP, RAG, Agentic AI, Prompt Engineering, and Python, * Hands-on experience with Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Retrieval Augmented Generation (RAG)
- Python Development
- Prompt Engineering
- Agentic AI Development
Preferred Skills
- Contact Center AI Solutions
- AI Application Architecture
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- API Integration Experience
Nice-to-Have Skills
- Healthcare Domain Experience
- Multi-Agent Frameworks
- Vector Databases
- Conversational AI Platforms, AI Application Architecture
Multi-Agent Frameworks
Retrieval Augmented Generation (RAG)
Azure OpenAI
Vector Databases
Python
AWS Bedrock
Conversational AI Platforms
Prompt Engineering
Google Vertex AI
Agentic AI Development
API Integration Experience
Additional Notes
Strong practical experience building and deploying AI/GenAI solutions is expected.
Experience working on Agentic AI implementations is highly preferred.
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