• Design, develop, test, deploy, and monitor high-performance backend services and APIs • Build and productionize backend services primarily in Golang • Collaborate closely with ML engineers and research teams to take models from experimentation to production • Develop and maintain services using AWS (Kinesis, DynamoDB, S3) and GCP native services • Deliver production-ready features end-to-end with a strong focus on scalability, performance, and security • Diagnose and resolve production issues using tools such as Prometheus, Grafana, Google Logging, and Cloud Trace • Review code to uphold quality standards and promote best practices • Contribute to evolving backend and ML platform architecture • Participate in on-call rotation, including required night and weekend coverage

• Own the Workflow UI Experience by architecting and building the Workflow Builder front-end. • Develop with React & UI Libraries, integrating component libraries for consistency. • Build scalable and secure back-end services with a security-first mindset. • Deliver high-quality at scale through comprehensive tests and monitoring performance metrics. • Mentor and lead junior engineers and contribute to technical roadmap planning.

Role Description 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! Qualifications - Strong experience in Python - Strong foundations in software engineering - Solid knowledge of Computer Vision / Deep Learning, ideally including some of: - Image/video processing - 3D vision (point clouds, NeRF/Gaussian Splatting, spatial understanding) - Segmentation/detection approaches (e.g., SAM-like models, grounding, multimodal) - Ability to implement end-to-end solutions beyond notebooks, with production constraints in mind - Good communication skills (technical + collaborative) - Proficiency in English in an international environment Requirements - 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 Benefits - Salary determined by the market and your experience - Flexible schedule 35 Hours / Week - 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 or equipment and free Microsoft certifications - English lessons - 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) - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees - The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.

• Lead the design and delivery of AI-powered internal tools and systems that enable refurbed to operate as an AI-native company under our AI & Tech Transformation program. • Act as a product-minded senior back-end engineer for internal AI across teams to identify opportunities, architect solutions, and directly build the back-end services and integrations that embed AI and automation into how employees work. • Partner closely with the Head of Internal Technology & AI on strategy, planning, and execution while providing technical leadership to teams, working closely with core platform Engineering for support. • Measure success in this role by productivity improvements, enabling new capabilities, and adoption of AI tools and new ways of working across the company.