Python AI Engineer

Enterprise Solutions Inc.; Plano (TX); On-site; USD 69,000 - 76,000; Full time

Job summary

Enterprise Solutions Inc. is seeking a Python AI Engineer to design, develop, and integrate Generative AI solutions. You will work hands-on with Python, LLMs, RAG, prompt engineering, and multi-model agent architectures, integrating MCP across applications.

This onsite role requires collaboration with cross-functional teams to deliver scalable AI-powered systems. Contract is 12+ months, onsite in Plano, Texas, with a competitive $50–$55 per hour pay range.

Qualifications

• Strong hands-on experience with Python.
• Hands-on experience building and working with LLMs and Generative AI applications.
• Strong experience with RAG (Retrieval-Augmented Generation) architectures.
• Hands-on experience with Prompt Engineering and prompt optimization.
• Experience designing and developing multi-model / multi-agent AI systems.
• Experience with MCP (Model Context Protocol) and its integration with AI applications.

Skills

Python

LLMs

RAG

Prompt Engineering

Multi-agent AI

MCP

Job description

Duration: 12+ months contract

Pay Range: $50-$55/Hour

Work Mode: ONSITE (5 days / Week)

Tech Skills: Python, GenAI hands on building LLMs, RAG, Prompt Egg, Multi model agent design, MCP

Job Summary:

We are looking for a Python AI Engineer with hands-on experience building and implementing Generative AI solutions. The ideal candidate should have strong Python development skills and practical experience working with LLMs, RAG, prompt engineering, multi-model agent architectures, and MCP. The candidate will be responsible for designing, developing, and integrating AI-powered applications and intelligent agent solutions.

Mandatory Skills:

• Strong hands-on experience with Python.
• Hands-on experience building and working with LLMs (Large Language Models) and Generative AI applications.
• Strong experience with RAG (Retrieval-Augmented Generation) architectures.
• Hands-on experience with Prompt Engineering and prompt optimization.
• Experience designing and developing multi-model / multi-agent AI systems.
• Experience with MCP (Model Context Protocol) and its integration with AI applications.
• Interested?

Note: We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.