| Location | Chicago, IL |
Role: AI Engineer
Chicago, IL or Dallas, TX (Onsite preferred; Remote considered)
Position Summary:
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
Total Open Positions: 2
Key Skills
Preferred Skills
Nice-to-Have Skills
Position Summary
Mandatory Skills | Preferred Skills | Nice-to-Have Skills |
Large Language Models (LLMs) | Contact Center AI Solutions | Healthcare Domain Experience |
Model Context Protocol (MCP) | 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.
Client is actively investing in Digital and AI transformation initiatives.