ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 2 ΠΌΠ΅ΡΡΡΠ° Π½Π°Π·Π°Π΄
AI Workflows Engineer (Python)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
AI Workflows Engineer (Python): Building and delivering AI-powered, Python-first engineering workflows that integrate design, simulation, and machine learning with an accent on production-grade tools, clean interfaces, and reusable platform components. Focus on designing technical architectures, integrating CAD/CAE systems, and standardizing workflows for scalable adoption across engineering applications.
Location: Lausanne, Switzerland or Cambridge, UK; hybrid setup with up to 2 remote days per week
Company
develops AI technologies and workflows that help customers accelerate engineering and AI-assisted product design.
What you will do
- Design and deliver AI-powered engineering workflows for specific industry applications.
- Build, test, package, release, and maintain production Python tools integrated with CAD and CAE systems.
- Define clean interfaces and data flows with CAD and CAE specialists.
- Identify recurring project patterns and turn them into reusable templates, presets, and platform components.
- Collaborate with product management, reference customers, and end users to gather feedback and drive adoption.
- Contribute to documentation, playbooks, and hands-on training sessions.
Requirements
- Experience building and shipping production Python tools in fast-moving, cross-functional teams.
- Strong software engineering practices, including packaging, pytest-based testing, CI, code review, documentation, and Git.
- Ability to contribute to technical direction and architecture while remaining a hands-on developer.
- Experience integrating external tools and defining clean data interfaces for engineering specialists.
- Background in physics or engineering, or equivalent experience.
- Must be based in Lausanne or Cambridge, or willing to relocate; hybrid attendance is required.
Nice to have
- Industry exposure in automotive, aerospace, energy, or related product design processes.
- Familiarity with CAD and/or CAE.
- Familiarity with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.
- Experience with agentic AI orchestration.
Culture & Benefits
- Work with an experienced technology team focused on engineering excellence.
- Competitive salary and opportunities in a scaling organization.
- Collaborative, multicultural environment with visible and recognized work.
- Professional development alongside colleagues who share knowledge and support one another.
- Hybrid work model and flexible hours focused on results.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β