Senior AI & Computer Vision Software engineer
Résumé du poste par JobGrid
Senior AI & Computer Vision Software engineer at Plain Concepts: Remote, Espagne; Temps plein; IT; Data Science et ML. This listing is part of JobGrid's Emplois IA à distance depuis des pages carrières. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying. This listing is part of JobGrid's Emplois de developpeur logiciel a distance depuis des pages carrieres.
- Location and workplace: Remote, Espagne
- Role classification: IT, Data Science et ML, Temps plein
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
🚀 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