{"id":1593922,"url":"https://alion.io/job/mediaradar-ai-engineer","title":"AI Engineer","company":{"id":3096,"name":"Mediaradar","domain":"mediaradar.com","url":"https://alion.io/company/mediaradar","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":126000,"period":"year","method":"role_country_seniority_unknown","sample_n":25},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alembic","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"ChatGPT","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false}],"status":"live","first_seen_at":"2026-10-01T17:03:35Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-08T21:51:13Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Location: Madrid, Spain (Remote - with regular in-person collaboration at a local WeWork alongside our Madrid tech team)\nAbout MediaRadar\nMediaRadar, 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.\nJob Summary\nWe 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.\nYou 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.\nStack Highlights:\nCore: Expert Python (Non-negotiable), PostgreSQL + pgvector, SQLAlchemy.\nAI/LLM: Azure OpenAI, LangChain, Langfuse, Multi-agent orchestration.\nProductivity: ChatGPT/Copilot for development, Docker, async I/O.\nKey Responsibilities\nIndependent System Building: Own the design and implementation of scalable ML solutions, moving rapidly from problem statement to working code.\nClassification & Attribution: Build and fine-tune systems for complex data, such as identifying ad creatives or global brand deduplication by cross-referencing government registries.\nAdvanced Reasoning: Implement \"Chain of Thought\" prompting and multi-agent workflows (e.g., classification agents vs. reasoning agents) to solve complex attribution tasks.\nData Engineering Rigor: Optimize vectorization, manage migrations via Alembic, and ensure high-throughput ingestion with minimal supervision.\nOperational Excellence: Implement guardrails and observability (Langfuse) to ensure that high-velocity output remains explainable and robust.\nRequirements\nKey Qualifications\nAcademic Foundation: Strong degree in Computer Science or Telecommunications (Teleco).\nSoftware Rigor: You think like a developer. Clean code, architecture, and scalability are your default settings.\nThe \"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.\nExtreme Independence: Proven ability to thrive in international roles without constant lead structure or heavy supervision.\nTechnical Mastery: \n* Expert Python (typing, async, performance).\nDeep SQL & Vector DB knowledge (pg_trgm, HNSW).\nExperience building and deploying RAG pipelines and LLM agents.\nSkill Focus for 2026\nVision-based ML: Using reasoning to correctly attribute visual ad creatives.\nContext Optimization: Utilizing window context detection to improve system reasoning.\nMulti-Agent Scaling: Chaining specialized models to automate complex data workflows.\nBenefits\nAt 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.\nIn 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.\nWe are committed to ensuring our recruitment process is accessible to all applicants. 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