AI Engineer

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

• 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

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.