Lead Engineer delivering AI-powered engineering solutions for industry applications at Neural Concept. Collaborate with cross-functional teams to design and implement innovative workflows.
Responsibilities
Lead the design and delivery of AI-powered engineering workflows for specific industry applications and integrate them into the Neural Concept platform for scalable adoption.
Build & integrate: act as primary Python developer — define clean interfaces with CAD/CAE specialists; own coding, testing, CI, packaging, and releases
Upstream reusable components to the Neural Concept platform.
Standardize: stay close to active projects; spot recurring pain points and patterns, and turn them into reusable 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.
Requirements
5+ years leading and shipping production Python tools in fast-moving, cross-functional teams.
Hands-on Python engineer with strong software practices: packaging, testing (pytest), CI, code review, docs, and git.
Provide technical direction and architecture while remaining the primary hands-on developer for vertical workflows; comfortable integrating external tools and defining clean data/interfaces for specialists.
Clear, concise communicator who collaborates effectively across teams.
Benefits
Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
Benefit from a competitive salary and rewarding opportunities as we continue to scale.
Thrive in a collaborative, multicultural environment where your work is visible and recognized.
Develop professionally alongside talented colleagues who share knowledge freely and support one another.
Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.
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