Senior AI Engineer - Enterprise AI Platform & Strategy

Worky; Goerke's Corners (WI); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Job summary

MLG Capital is seeking a highly technical AI professional to design and build AI-enabled workflows and enterprise AI platforms for private real estate investing. You will partner with Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology to identify opportunities, prototype solutions, and scale AI across the organization.

The role blends hands-on software engineering with architectural thinking in a fast-moving environment, emphasizing security, governance, and

Qualifications

• 5+ years of software engineering, cloud engineering, ML, or AI engineering experience.
• Experience building and deploying production applications.
• Experience communicating with business stakeholders to solve real-world problems.
• Knowledge of CI/CD, testing, version control, and deployment automation.
• Experience designing scalable cloud-based architectures.

Responsibilities

• Design and develop AI-powered applications, agents, copilots, and decision-support systems.
• Build retrieval-augmented generation solutions leveraging enterprise data sources.
• Develop and deploy agentic workflows and reusable AI services.
• Establish software engineering standards for AI-enabled products.
• Collaborate across functions to productionize AI systems and platforms.

Skills

Python

TypeScript

JavaScript

C#

.NET

React

REST APIs

SQL

Data engineering

Cloud platforms

Tools

Azure OpenAI

Azure AI Foundry

Microsoft Copilot

Copilot Studio

Azure AI Search

RAG architectures

LangGraph

Semantic Kernel

Job description

MLG Capital is seeking a highly technical AI professional to design and build AI-enabled workflows and enterprise AI platforms for private real estate investing. You will partner with Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology to identify opportunities, prototype solutions, and scale AI across the organization.

The role blends hands-on software engineering with architectural thinking in a fast-moving environment, emphasizing security, governance, and