Senior AI & Computer Vision Software engineer

🚀 We’re Growing Our Research and Innovation Dream Team!

Titles? Meh, we’re not big on them, but let’s call this one Senior AI & Computer Vision Software engineer 😉

As part of our international research squad, you’ll craft tailor-made solutions that wow our clients. This is a role for people who enjoy solving problems where there’s uncertainty, limited time/budget, and no obvious “correct” solution. You’ll work on real innovation projects where the goal is to turn ambiguity into working software through an Agile, iterative approach, while keeping a high engineering standard.

Our Innovation team focuses on turning cutting-edge ideas into working software: we take promising research and early-stage technology and make it real, usable, and production-ready.

You’ll collaborate with multidisciplinary teams working at the intersection of:

• AI / Machine Learning
• Computer Vision (2D/3D)
• 3D graphics & spatial computing
• Solid software engineering practices

Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊

What you will do (responsibilities)

- Be resolutive in uncertain environments

• Break down complex, ambiguous problems into small iterations
• Prototype quickly, validate hypotheses, and discard approaches efficiently
• Make pragmatic decisions aligned with time, budget and constraints
• Define experiments and metrics to prove what works

- Bring innovation into real projects

• Study and apply recent techniques in AI / CV / 3D
• Combine tools and approaches creatively to explore solutions beyond the obvious
• Build Proofs of Concept to tackle problems not fully solved in the market
• Turn prototypes into production-ready solutions (robustness, maintainability, monitoring)
• Propose improvements in architecture, pipelines and workflows

- Share knowledge and help the team grow

• Contribute with internal sessions, demos, mentoring, documentation
• Participate in external knowledge sharing: articles, talks, workshops, conferences

- Bridge the gap between research and production

• Evaluate immature technologies critically (trade-offs, limitations, feasibility)
• Reduce technical risk through iterative validation
• Help transform “cool demos” into reliable systems that can be maintained over time

- Build software the right way

• Write clean, maintainable, production-ready code
• Apply strong engineering practices (architecture, testing, performance)
• Participate actively in code reviews and technical discussions
• Collaborate in an Agile environment with strong ownership and teamwork