neuralconcept - AI Workflows Engineer - UK
Requirements
• Experience building 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. • Contribute to technical direction and architecture while acting as a hands-on developer for vertical workflows; comfortable integrating external tools and defining clean data/interfaces for specialists. • Background in physics or engineering, or equivalent experience. • Clear, concise communicator who collaborates effectively across teams. • Location: Cambridge (UK), or willing to relocate; hybrid setup with up to 2 remote days/week. • Industry exposure (e.g., automotive, aerospace, energy) and familiarity with product design processes is a strong plus. • Familiarity with CAD and/or CAE • Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) • Experience with agentic AI orchestration • 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.
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.
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