AI & Computer Vision Software Engineer

We're looking for a Software Engineer with interest in AI and Computer Vision to join our Innovation team.

This role is ideal for someone who enjoys building real solutions in environments with uncertainty, where the path is not always clear from the beginning. You'll work with experienced engineers on projects that combine AI, Computer Vision and software engineering, with a strong focus on turning emerging tech into real, usable products through an Agile, iterative approach.

You will have room to grow fast: we value curiosity, ownership, and the ability to learn new tools and paradigms quickly, especially when moving from prototype to production-grade software.

What you will do (responsibilities)

• Learn to solve ambiguous technical problems

• Work on innovation projects where requirements evolve and exploration is part of the job

• Help transform early-stage ideas and immature technology into solutions that can run reliably in real environments

• Break down problems into small experiments and iteratively validate solutions

• Help implement prototypes and Proofs of Concept (PoCs) and evolve them into robust, maintainable software

• Learn how to define metrics and testing strategies to evaluate results

• Explore and apply new techniques

• Stay up to date with emerging approaches in AI and Computer Vision

• Try new models, tools or techniques and evaluate their usefulness in real scenarios

• Combine different ideas (classical CV + deep learning, multiple models in a pipeline, etc.)

• Identify when something is "cool" versus when it's "useful", and help close that gap

• Build solid software foundations

• Write clean, maintainable, and well-structured code

• Follow good engineering practices: modularity, readability, testing basics

• Contribute to code reviews and learn from feedback

• Collaborate in an Agile environment: planning, teamwork and continuous improvement

• Help productionize solutions: packaging, reproducibility, basic performance considerations, and stability over time

• Share and grow with the team

• Participate in internal knowledge-sharing sessions and discussions

• Support documentation and small demos of what you learn/build

• Optionally contribute to content like short articles, demos, or talks as you grow

• Help document technical decisions so experiments can become reusable building blocks

Do you have experience in Python?, Mindset & soft skills

• You are resolutive: you like figuring things out and you don't get blocked easily
• You are curious and open-minded, willing to explore alternatives
• You can learn fast and accept feedback as a tool to improve
• You enjoy teamwork and communicating progress clearly
• You understand that "innovation" also means delivering: making trade-offs, iterating fast, and improving quality until it is usable

Technical background

• Experience with Python for development (professional or solid personal projects)
• Basic understanding of software engineering fundamentals:

• clean code practices
• modular design
• version control (Git)

• Initial experience in AI / Machine Learning and Computer Vision and PyTorch.
• Familiarity with common CV tasks (detection, segmentation, classification)
• Motivation to work beyond notebooks and help build real applications that can be shipped and maintained

Communication

• Comfortable working in English in an international environment
• Able to explain what you tried, what worked, and what didn't

Nice to have (but not mandatory)

• Experience with 3D-related concepts (point clouds, NeRF, Gaussian Splatting)
• Basic experience with cloud environments (Azure/AWS/GCP)
• Interest in MLOps basics (packaging, evaluation, simple deployment workflows)
• Interest in creating demos, writing, or speaking about technical topics
• Experience taking prototypes into production (even small ones), or contributing to internal tools that other people actually use

What do we offer? Salary determined by the market and your experience Flexible schedule 35 Hours / Week

• (no salary reduction). Fully remote work (optional)
• Flexible compensation (restaurant, transport, and childcare) Medical and dental insurance (completely free of charge for the employee) Individual budget for training and free Microsoft certifications English lessons (1 hour/week) Birthday day off Monthly bonus for electricity and Internet expenses at home Discount on gym plan and sports activities Plain Camp (annual team-building event)
• The pleasure of always working with the latest technological tools!

Plain Concepts is made up of 400 people who are passionate about technology, driven by the change towards finding the best solutions for our customers and projects. Throughout the years, the company has grown thanks to the great technical potential we have and relying on our craziest and most innovative ideas. We currently have over 14 offices in 6 different countries. Our main goal is to keep growing as a team, developing the best and most advanced projects in the market. We truly believe in the importance of bringing together people from different backgrounds and countries to build the best team, with a diverse and inclusive culture. What do we do at Plain Concepts? We are characterized for having a 100% technical DNA. We develop customized projects from scratch, technical consultancy, training, and our own product: Evergine. * We don't do bodyshopping or outsourcing. * Our teams are multidisciplinary, and the organizational structure is flat and horizontal. * We are very committed to AGILE values. * Sharing is caring: We help, support, and encourage each other to expand our knowledge internally and also towards the community (with conferences, events, talks…). * We always look for creativity and innovation, even when the idea might seem crazy to others. * Transparency is key to any relationship. We make our clients ideas and solutions a reality with a high degree of technical excellence, for more information you can visit our website: https://www.plainconcepts.com/es/ At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.