AI Workflows Engineer — Hybrid, Python-Powered CAD/CAE

Neural Concept

Town Of Cambridge

Hybrid

AUD 142,000 - 208,000

Full time

4 days ago
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Job summary

Neural Concept seeks an AI Workflows Engineer to design and deliver Python-based AI workflows for engineering applications. You will partner with a Product Manager and customers to roadmap production-grade solutions that integrate design, simulation, and machine learning.

As the lead developer, you’ll collaborate with CAD/CAE specialists, implement reusable components, and help shape the Neural Concept platform with scalable, repeatable workflows.

Qualifications

  • Experience building and shipping production Python tools in fast-moving, cross‑functional teams.
  • Hands‑on Python engineer with strong software practices: packaging, testing, CI, docs, and git.
  • Contribute to technical direction while acting as a hands‑on developer for vertical workflows; comfortable defining clean data/interfaces.

Responsibilities

  • Lead the design and delivery of AI-powered engineering workflows and integrate them into the Neural Concept platform for scalable adoption.
  • Act as primary Python developer — define clean interfaces with CAD/CAE specialists; manage coding, testing, CI, packaging, and releases.
  • Develop upstream reusable components and standardize workflows into templates, presets, and best practices.
  • Engage reference customers and end users to gather feedback and drive adoption.
  • Help define and review documentation, playbooks and hands-on training sessions.
  • Collaborate across teams to ensure quality and timely delivery of AI workflows.

Skills

Python
CI/CD
pytest
Packaging
Code review
Git
Cross-functional
Communication
Physics/Engineering background
Relocation to Cambridge

Tools

scikit-learn
PyTorch
TensorFlow

Job description

Neural Concept seeks an AI Workflows Engineer to design and deliver Python-based AI workflows for engineering applications. You will partner with a Product Manager and customers to roadmap production-grade solutions that integrate design, simulation, and machine learning.

As the lead developer, you’ll collaborate with CAD/CAE specialists, implement reusable components, and help shape the Neural Concept platform with scalable, repeatable workflows.

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