1 день назад
Software Engineer Co-op (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer Co-op (AI): Building features for a cloud ERP platform used by metal finishing and fabrication shops with an accent on React, Node.js, TypeScript, Postgres, GraphQL, and AI-native development. Focus on designing data models, developing and testing complete product features, coordinating AI-assisted development, and incorporating operational feedback and product metrics.
Location: Onsite at the office in Calumet, Michigan, United States
Company
builds a cloud-based ERP platform for manufacturing job shops, providing operational visibility, automated order entry, and intelligent reporting.
What you will do
- Collect requirements from deployment specialists, support, sales, and customer feedback sources.
- Develop ERP features using AI-native workflows with Claude Code or Cursor.
- Work with tech leads on architecture and data model design.
- Support larger engineering efforts through iterative loops and multiple agents.
- Create test plans, test workflows thoroughly, and collaborate with QA on feedback.
- Monitor operational logs and product metrics to improve features.
Requirements
- Available for a full-time, 40-hour-per-week co-op term onsite in Calumet, Michigan.
- Currently pursuing a B.S. in Software Engineering, Computer Science, or a related field.
- Coursework or project experience with SQL and data model design.
- Development experience with React or a similar web application framework.
- Interest in or experience with AI-native development.
- Strong written and oral communication skills; action-oriented and self-directed approach.
Nice to have
- GraphQL experience.
- Experience with AI looping.
- AWS experience.
- Docker experience.
- DataDog experience.
Culture & Benefits
- Choose a four-month single-semester co-op or an eight-month spring/summer or summer/fall co-op.
- Work alongside five engineers and a tech lead in a shared office environment.
- Own features and contribute to product decisions from requirements through deployment.
- Receive direct feedback from manufacturing customers using the ERP in daily operations.
- Work with the technology stack of React, Node.js, TypeScript, Postgres, and GraphQL.
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