Jobs at Plain Concepts

As a Principal Cloud Engineer, you'll design and lead cloud architectures, manage AI-powered platforms, and build CI/CD pipelines, all while collaborating in Agile teams.

The Digital Strategist will lead digital transformation projects, conduct analysis, support AI initiatives, and collaborate with teams to deliver impactful solutions.

As a Senior AI/ML Engineer, you'll design and develop AI solutions, build production-level ML models, and implement MLOps practices. You'll work with a multidisciplinary team on cutting-edge projects, focusing on AI-powered software and deep learning techniques.

Plain Concepts is looking for talented individuals passionate about technology and continuous learning. Positions may arise in the future, and the company encourages potential candidates to submit their profiles.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

Seeking a Senior Digital Strategist to lead AI and data-driven projects, develop innovative solutions, and execute product management strategies while collaborating with clients.

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

The role involves designing and implementing low-code AI solutions, developing workflows, and improving automation for business processes across various domains.

Build scalable software systems, developer platforms, internal tools, services, and infrastructure using Go and TypeScript. Solve complex architectural and engineering problems while contributing to AI-native and agentic systems. Collaborate with technical stakeholders on reliable, performant cloud solutions across Azure and/or AWS. The role is fully remote and requires candidates to be based in Portugal or Brazil.

Design and implement high-quality native iOS applications using Swift, SwiftUI and UIKit. Lead architecture and technical decisions, apply SOLID and design patterns, write clean reusable code, implement automated testing and CI/CD, and integrate AI-powered features while collaborating in agile teams.

Design, build, and scale cloud-native, AI-enabled backend platforms; own architecture decisions; collaborate with product and AI teams; implement Azure-based solutions; ensure testing and CI/CD best practices; lead client meetings and mentor teams.

Design and lead scalable, secure data architectures and end-to-end data flows across cloud and hybrid environments. Define standards, guide pipeline development and modeling, advise on storage, governance and performance, evaluate new tools, and lead technical initiatives across teams.

Design, build, and deploy production-quality AI/ML solutions (NLP & Computer Vision). Own end-to-end ML lifecycle including data cleaning, model development, MLOps, automated deployment, monitoring, testing, and optimization in cloud environments.

The Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.

Serve as the Product Owner for agile teams: gather and analyze requirements, write and prioritize user stories, manage the backlog, participate in Agile ceremonies, support estimations, liaise with stakeholders, and ensure solutions deliver business value while collaborating with technical teams.