Full-Stack Engineer, AI-Enabled Commodity Finance Platform

Macquarie Global Services

Houston (TX)

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Wellbeing leave
Parental leave
Volunteer leave
Insurance coverage
Employee assistance
Learning opportunities
Hybrid work
Home office stipend

Job summary

Macquarie Global Services is seeking a software engineer to join a high-impact team transforming the Commodity Financing business. You will build platforms and AI-powered tooling that span the full lending lifecycle, turning data into competitive advantage and delivering reusable capabilities across the organization.

You will work with stakeholders, design scalable solutions, and leverage AI to drive efficiency at scale while growing your career in a technically rigorous, globally connected

Qualifications

  • Hands-on full-stack development with Python and AWS in a test-driven AI environment.
  • Experience translating end-to-end business processes into scalable technical solutions.
  • Ability to articulate complex technical concepts to non-technical stakeholders.

Responsibilities

  • Collaborate with stakeholders to transform how deals are originated and managed across the lending lifecycle.
  • Build and own core platforms and tooling that unlock data and improve operational efficiency.
  • Leverage AI tooling and agentic architectures to solve real business problems at scale.
  • Create reusable capabilities adopted across the broader business.

Skills

Full-stack dev
Python
Data architecture
Distributed systems
End-to-end processes
Deal lifecycle
Agentic AI
Infra as Code
Communication
Stakeholder mgmt
Curiosity
Detail-oriented

Tools

AWS
Terraform

Job description

Macquarie Global Services is seeking a software engineer to join a high-impact team transforming the Commodity Financing business. You will build platforms and AI-powered tooling that span the full lending lifecycle, turning data into competitive advantage and delivering reusable capabilities across the organization.

You will work with stakeholders, design scalable solutions, and leverage AI to drive efficiency at scale while growing your career in a technically rigorous, globally connected

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