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Software Engineer, AI Engineer

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: Mondo
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Base pay range

$/yr - $/yr

About the Role

We are seeking an experienced Software Engineer to join our team focused on e-procurement and spend management. This role will play a critical part in modernizing a 30+ year-old platform by introducing AI-driven tooling and solutions, building spend analytics tools, and ensuring smooth workflows from order approval to client delivery.

The ideal candidate has strong backend and frontend development skills, cloud expertise, and the ability to leverage AI to optimize systems and workflows. You’ll be hands-on in writing quality code, building integrations, and supporting a scalable ecosystem.

Key Responsibilities
  • Design, develop, and maintain applications supporting e-procurement, order approval, and spend analytics.
  • Introduce and integrate AI-powered solutions to modernize workflows and enhance decision-making.
  • Build backend services in C#/.NET and develop frontend components using React and Type Script .
  • Implement data solutions leveraging SQL Server, Postgre

    SQL, and AWS Aurora
    .
  • Use Python for AI integration, including working with embeddings and vectorized data.
  • Architect, deploy, and manage infrastructure with AWS and Terraform.
  • Collaborate with cross-functional teams to ensure seamless end-to-end solutions.
  • Write clean, maintainable, and testable code that supports scalability and long-term platform health.
Must-Have Qualifications
  • 8+ years of professional software engineering experience.
  • Strong experience with AWS and infrastructure-as-code tools like Terraform.
  • Database expertise: SQL Server, Postgre

    SQL, and serverless solutions (AWS Aurora)
    .
  • Backend development with C# / .NET.
  • Frontend development with React and Type Script .
  • Proficiency in Python for AI integration.
  • Understanding of embeddings and vectorized data for AI-driven solutions.
  • Demonstrated ability to leverage AI as a tool to improve workflows and product capabilities.
Nice-to-Have Qualifications
  • Experience modernizing legacy platforms or enterprise applications.
  • Background in procurement, supply chain, or spend management systems.
  • Familiarity with MLOps practices or deploying AI models into production environments.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology and Engineering
Industries
  • Staffing and Recruiting

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