We’re looking for an Agentic Platform Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
Your Mission This is a company built for growth.
We’re looking for a Senior Software Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
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Implement agent features and integrations in production codebases – APIs, websockets, tool-calling workflows – following established architecture patterns.
Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen Bewertung aktueller AI-Technologien und -Plattformen, prüfen von Lösungskonz
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
ILP aufbauen: Du besprichst mit dem PO die nächsten Schritte der Weiterentwicklung und arbeitest erfolgreich mit den Kollegen am Aufbau der Plattform.
Beratung unserer Kunden bezüglich des Einsatzes von AI bzgl.
Worum es bei uns wirklich geht Du identifizierst KI-Anwendungsfälle in Bankprozessen, bewertest Machbarkeit und Nutzen und überführst sie in
Umsetzung von individuellen Applikationen in interessanten und herausfordernden Kundenprojekten auf Basis von ASP.NET Code (Razor/Blazor) un
Als AI Engineer (w/d/m) schreibst du nicht nur Notebooks und Prompts, du baust produktive GenAI-Systeme: Agenten, RAG-Pipelines, LLM-getrieb
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We’re looking for an Agentic Platform Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale. Who We Are At Seedtag, our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist. As the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next.
Our proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 500+ Seedtaggers in 17 countries, backed by €250M in funding, and operates today as a global ad-tech leader. If you enjoy solving complex engineering challenges and building AI-driven systems at scale, you’ll feel right at home here.
Your Challenge As our Agentic Platform Engineer, you will help build and scale Liz Agent, Seedtag s AI agent platform, ensuring reliability, security, and seamless integration across teams. Your main responsibilities will include: - Agent Platform Development: Build and maintain the core Liz Agent runtime, including agent execution, context management, and event streaming. - Tools & Integrations: Develop MCP tool servers, APIs, and integrations that enable secure access to internal data and services. - Agentic AI Capabilities: Improve agent functionality through memory, multi-model routing, durable execution, and LLM frameworks. - Reliability & Observability: Monitor platform performance, troubleshoot production issues, and improve tracing and evaluation capabilities. - Platform Engineering: Contribute to APIs, service templates, CI/CD pipelines, and cloud-native deployments that enable teams to build agents independently. - Security & Quality: Implement security best practices, automated evaluations, and regression testing to ensure reliable agent behaviour. - End-to-End Ownership: Take responsibility for features from development to deployment and monitoring, collaborating with Data, ML, Platform, and Product teams. Our Core Values Outcome over Output We measure success by impact and value, not by volume of features or lines of code.
Failure Is Allowed, Learning Is a Must Experimentation is key to innovation. We test early, iterate often, and learn fast. We Are All Scouts We take ownership and leave things better than we found them.
We Are Data-Driven Data informs our decisions and helps us continuously improve our systems and results. Tech Stack You ll work with the technologies powering Liz Agent, our AI agent platform, built on 30+ services running on GKE. Our stack includes: - Languages: Python, Go. - Cloud & Infrastructure: GCP, GKE, Kubernetes, Vertex AI, BigQuery. - Agentic AI: MCP, PydanticAI, Claude Agent SDK, LangGraph, OpenAI Agent SDK. - Data & Messaging: Pub/Sub, Redis, Firestore. - LLMOps & Observability: Langfuse, Prometheus, Logfire, LiteLLM. - DevOps & CI/CD: ArgoCD, Kustomize, GitHub Actions. - Additional Technologies: TypeScript, Next.js, embeddings, vector search.
What You’ll Need to Succeed - 3+ years of experience building and maintaining backend systems in production. - Strong Python expertise, including APIs, asynchronous programming, testing, and clean architecture. - Hands-on experience developing LLM applications or AI agents, including tool calling, structured outputs, and evaluations. - Solid understanding of event-driven architectures, microservices, Kubernetes, and cloud infrastructure. - Experience with LLMOps, observability, CI/CD, and production troubleshooting. - Knowledge of AI security practices, including authentication, access controls, and prompt-injection protection. - Ability to own features end to end, work autonomously, and collaborate effectively with cross-functional teams. Why Join Seedtag? - A key moment of growth with real ownership and global impact. - Flexible work model with 100% remote or hybrid options. (Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.) - Continuous learning through a learning platform and optional language classes. - A supportive, trust-based culture that values well-being. - Team activities, offsites, and opportunities to connect beyond work.
Additional Perks - Home office setup budget up to €1,000 - Paid trips to our HQ in Madrid - MacBook Pro M3 Ready to Join the Seedtag Adventure? At Seedtag, we create an environment where everyone can thrive. If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience.
Send us your CV and let’s build the future of neuro-contextual advertising together.
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeHier stehen ausschließlich Stellen, die ortsunabhängig ausgeschrieben sind. Anzeigen, die Homeoffice an einzelnen Tagen erlauben, laufen unter Hybrid und nicht hier, denn wer ortsunabhängig sucht, will nicht pendeln. Diese Unterscheidung trifft kijobs selbst: Die Quellen weisen sie nicht aus, erkannt wird sie aus Titel, Ortsangabe und Anzeigentext, und im Zweifel ordnen wir vorsichtig ein, lieber hybrid als remote. Beachte dabei, dass remote selten weltweit heißt. Viele Arbeitgeber verlangen einen Wohnsitz im selben Land oder zumindest innerhalb der EU, und das steht meist erst im Anzeigentext.