> Markdown version of [/jobs/ext/1542616-ai-workflows-engineer](https://www.wearedevelopers.com/jobs/ext/1542616-ai-workflows-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Workflows Engineer - **Company:** Neural Concept - **Location:** Cambridge, UK - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Code Review, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Git, Pytest, Scikit Learn, Automation Anywhere - **Published:** July 31, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=1e2ba861279e045b ## About the Role * Experience 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. * Location: Lausanne (Switzerland) or Cambridge (UK), or willing to relocate; hybrid setup with up to 2 remote days/week. Nice to have: * Industry exposure (e.g., automotive, aerospace, energy) and familiarity with product design processes is a strong plus. * Familiarity with CAD and/or CAE is a strong plus. * Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) is a strong plus. ## Description Neural Concept's Vertical Solutions team turns the most common engineering use cases into streamlined, production-grade workflows empowered by leading AI technologies. As an AI Workflows Engineer, you will own the design and delivery of AI-powered, Python-first engineering solutions for a specific industry application. You will collaborate with the Vertical Solutions Product Manager and key customers to define the roadmap and build workflows that integrate design, simulation, and machine learning-helping to shorten product development cycles and amplify impact. As the primary developer, you will work closely with CAD and CAE specialists to implement, maintain, and evolve these solutions. You will also identify reusable components that can be integrated into the Neural Concept platform, ensuring consistency, driving innovation, and accelerating adoption across applications. What you will do * 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. ## Related Videos - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)