Location: Madrid, Spain (Remote — with regular in-person collaboration at a local WeWork alongside our Madrid tech team)
About MediaRadarMediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. 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. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business.
Job SummaryWe are building a best-in-class AI team focused on delivering advanced capabilities that empower our data organization. This is not a role for theoretical research; it is for an AI Engineer with a strong Software Engineering backbone.
You will be expected to be highly independent, taking ownership of problems from end-to-end. We value "Modern Productivity"—you should leverage LLMs and AI coding assistants to bypass boilerplate and ship code faster. In our view, manual line-by-line coding is outdated; we want engineers who use every tool at their disposal to increase output without sacrificing reasoning or quality.
Stack Highlights:
Core: Expert Python (Non-negotiable), PostgreSQL + pgvector, SQLAlchemy.
AI/LLM: Azure OpenAI, LangChain, Langfuse, Multi-agent orchestration.
Productivity: ChatGPT/Copilot for development, Docker, async I/O.
Key Responsibilities- Independent System Building: Own the design and implementation of scalable ML solutions, moving rapidly from problem statement to working code.
- Classification & Attribution: Build and fine-tune systems for complex data, such as identifying ad creatives or global brand deduplication by cross-referencing government registries.
- Advanced Reasoning: Implement "Chain of Thought" prompting and multi-agent workflows (e.g., classification agents vs. reasoning agents) to solve complex attribution tasks.
- Data Engineering Rigor: Optimize vectorization, manage migrations via Alembic, and ensure high-throughput ingestion with minimal supervision.
- Operational Excellence: Implement guardrails and observability (Langfuse) to ensure that high-velocity output remains explainable and robust.
RequirementsKey Qualifications
- Academic Foundation: Strong degree in Computer Science or Telecommunications (Teleco).
- Software Rigor: You think like a developer. Clean code, architecture, and scalability are your default settings.
- The "Hacker" Spirit: Active participation in Hackathons or a portfolio of ambitious side projects. We want to see that you build things because you love solving problems.
- Extreme Independence: Proven ability to thrive in international roles without constant lead structure or heavy supervision.
- Technical Mastery:
- * Expert Python (typing, async, performance).
- Deep SQL & Vector DB knowledge (pg_trgm, HNSW).
- Experience building and deploying RAG pipelines and LLM agents.
- Vision-based ML: Using reasoning to correctly attribute visual ad creatives.
- Context Optimization: Utilizing window context detection to improve system reasoning.
- Multi-Agent Scaling: Chaining specialized models to automate complex data workflows.
Benefits
At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
We are committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at [email protected] .
We’re excited to meet people who share our values and want to build the future with us!
Skills Required
- Strong degree in Computer Science or Telecommunications
- Expert Python skills, including typing, asynchronous programming, and performance optimization
- Deep SQL and vector database knowledge, including pg_trgm and HNSW
- Experience building and deploying RAG pipelines and LLM agents
- Strong software engineering skills in clean code, architecture, and scalability
- Active participation in hackathons or a portfolio of ambitious side projects
- Ability to work independently in international roles without constant supervision
MediaRadar Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MediaRadar and has not been reviewed or approved by MediaRadar.
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Leave & Time Off Breadth — Flexible Time Off, paid sick days, parental leave, and seasonal Summer Fridays/early-release days are clearly provided, and time-off policies are consistently portrayed as strong. These provisions support a manageable workload and a favorable work-life rhythm.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is offered alongside life and disability insurance, with optional add-ons such as HSAs/FSAs and pet insurance. Health benefits are commonly characterized as solid and reliable for the company’s space.
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Retirement Support — A 401(k) plan with employer retirement contributions and access to financial planning resources are part of the package. Retirement offerings are described as a dependable component of total rewards.
MediaRadar Insights
What We Do
MediaRadar equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands. With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage.
Why Work With Us
We take our culture seriously. When someone closes a deal, the whole team knows about it wins are celebrated, heavily rewarded, and shared by everyone. We back our people with no artificial glass ceilings. We actively invest in your coaching, development, and long-term career goals. At the end of the day, we’re a team of genuinely good humans.






