> Markdown version of [/jobs/ext/4697518-remote-software-engineer-i-full-stack-ai-cloud](https://www.wearedevelopers.com/jobs/ext/4697518-remote-software-engineer-i-full-stack-ai-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Software Engineer I - Full-Stack, Ai & Cloud - **Company:** Mediaradar, Inc. - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Logic, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Extract Transform Load (ETL), Python (Programming Language), PostgreSQL, Microsoft SQL Server, Node.Js, Microsoft Copilot, Software Engineering, SQL Databases, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, GPT, Databricks - **Published:** November 13, 2026 - **Apply:** https://www.adzuna.es/details/5963828430 ## About the Role implementation, testing, and deployment.Full-Stack Contribution: Build across the stack (UI, business logic, database access, external interfaces) on our internal and client-facing applications.Cloud & Quality: Apply cloud-based deployment practices (AWS/Azure) and write clean, tested, well-documented code.Collaboration: Work with Product, Data, and other Engineering teams, escalating non-standard or higher-risk situations to senior engineers.Code Reviews: Participate actively in code reviews and apply feedback to raise the quality of your work.Key Qualifications:Experience Level: Roughly 1-3 years of professional software engineering experience (Intermediate level). Python: Strong working proficiency in Python is required.Cloud: Some hands-on experience with a major cloud provider (AWS or Azure) is required.Industry Relevance: Exposure to adtech, advertising, media, analytics, or competitive-intelligence platforms is a strong plus.SQL: Comfortable writing and troubleshooting SQL queries.Nice to Have: Familiarity with LLM/agentic frameworks (LangChain or similar), or exposure to sports-media data.Software Rigor: Solid testing habits, clean code practices, and a collaborative, growth-oriented mindset.Professional fluency in written and spoken English: Strong communication skills to effectively collaborate with distributed engineering, product, and business teams across North America, India, and Europe.Skill Focus for *********:Agentic Insights: Building foundational skills in AI-driven, customizable insight generation for our Insights Studio product line.Global Expansion: Supporting platform work as MediaRadar expands its footprint from the ## Description Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. As we expand our footprint from the US into Europe and deepen our focus on media intelligence, we're looking for engineers who can help scale our platform and products globally.About the Role:We're looking for a Software Engineer I to join our engineering team and grow into a well-rounded, full-stack contributor. In this role, you'll build and maintain features across our platform under the guidance of senior engineers, developing expertise in our core stack while contributing to real, high-impact work from day one.This is a great fit for a developing engineer who wants to sharpen their craft on a modern, cloud-based platform, while gaining exposure to the advertising, media, and data-intelligence space.Stack Highlights:Core: Strong Python proficiency is a must; comfort with additionallanguages (C#, Java, Node.Js) a plus.Cloud: Hands-on experience with AWS and/or Azure is a must.Data: SQL (SQL Server, Postgres), with Databricks/ETL experience a plus.AI/Agentic: Experience with LLM-powered or agentic systems (LangChain, multi-agent orchestration, RAG) is highly valued.Productivity: Use of modern AI coding assistants (Copilot, ChatGPT) to accelerate development.Key Responsibilities:Feature Development: Own moderately complex, well-scoped features end-to-end - from design through