MediaRadar Logo

MediaRadar

AI Engineer

Posted 4 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Madrid, Comunidad de Madrid
Entry level
In-Office or Remote
Hiring Remotely in Madrid, Comunidad de Madrid
Entry level
Build scalable AI and machine learning systems for advertising intelligence, including classification, attribution, brand deduplication, RAG pipelines, and multi-agent workflows. The role requires expert Python, deep SQL and vector database expertise, strong software architecture, high-throughput data ingestion, observability with Langfuse, and independent end-to-end ownership of AI solutions.
The summary above was generated by AI

Location: Madrid, Spain (Remote — with regular in-person collaboration at a local WeWork alongside our Madrid tech team)

About MediaRadar

MediaRadar, 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 Summary

We 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 In our view, manual line-by-line coding is outdated; we want engineers who use every tool at their disposal to increase output without sacrificing reasoning or quality.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.
Skill Focus for 2026
  • 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!

Similar Jobs

Yesterday
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, caching, and routing to improve quality, latency, and cost. Partner with AI Core engineering and remain hands-on in Ruby on Rails and Python development.
Top Skills: Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
11 Hours Ago
Remote
Mid level
Mid level
Healthtech • Insurance
Build and operate Alan’s internal agentic AI platform, including web experiences, agent orchestration, secure connectors, isolated runtimes, automations, evaluations, and developer tooling. Own work end to end across React interfaces, APIs, infrastructure, reliability, security, and production operations. Collaborate closely with product teams and internal users to create trustworthy, inspectable AI workflows and scalable platform capabilities.
Top Skills: Agent OrchestrationAuthorizationDistributed SystemsFlaskGitLinearLlm ApisMcpPostgresPythonReactReact NativeSandboxed ExecutionSlack
11 Hours Ago
Remote
Mid level
Mid level
Healthtech • Insurance
Build the Ops AI Platform from the ground up, developing reliable AI agents, agent tooling, internal tools integrations, evaluation systems, safety controls, and human-in-the-loop workflows. Scale automation from dozens to tens of thousands of daily tasks while influencing architecture, code quality, product direction, engineering culture, mentoring, and hiring.
Top Skills: LlmsMachine LearningMlopsMulti-Agent Architectures

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account