Backend Engineer Intern: C#/Java & AI Workflows

NEPSE Trading

Northern (KY)

Hybrid

USD 37,000 - 48,000

Part time

6 days ago
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Benefits offered by this job

Paid internship
Remote option
Mentorship
Professional development

Job summary

WEX is seeking a Backend Software Engineer Intern (Undergraduate) to build resilient backend systems and AI-driven workflows. You will design RESTful APIs, implement microservices, and work with SQL Server on Microsoft Azure.

You'll collaborate with engineers and PMs, learn modern SDLC practices, and leverage AI tools to accelerate development. The internship runs 13 weeks, with paid compensation and hybrid/remote options.

Qualifications

  • Pursuing a Bachelor's degree in CS or related field and completed at least Sophomore year.
  • Proficiency in C# (preferred) or Java.
  • Strong SQL/SQL Server skills.
  • Experience with API design and Azure.
  • Experience using AI coding assistants or APIs (Cursor, Copilot, MCPs).
  • Knowledge of Kafka is a plus.

Responsibilities

  • Develop Backend Services: Design and implement RESTful APIs, microservices, and backend processing pipelines using C# or Java.
  • Database & Cloud Integration: Write efficient SQL queries for SQL Server and support deployments on Microsoft Azure.
  • AI-Integrated SDLC: Leverage modern AI tools (Cursor, Copilot, MCPs) for spec-driven development, rapid prototyping, and automated task execution.
  • Learn & Collaborate: Partner with senior engineers to apply best practices in microservices and message-driven architectures (e.g., Kafka).

Skills

C#
Java
SQL
Azure
REST APIs
AI tooling

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka
SQL Server
Cursor
Copilot
MCPs

Job description

WEX is seeking a Backend Software Engineer Intern (Undergraduate) to build resilient backend systems and AI-driven workflows. You will design RESTful APIs, implement microservices, and work with SQL Server on Microsoft Azure.

You'll collaborate with engineers and PMs, learn modern SDLC practices, and leverage AI tools to accelerate development. The internship runs 13 weeks, with paid compensation and hybrid/remote options.

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