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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 2 мСсяца Π½Π°Π·Π°Π΄

AI Workflows Engineer (Python)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK/Switzerland
РСлокация
UK/Switzerland
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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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

hirify.global 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’