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# Senior Agentic Platform Engineer

- **Company:** Seedtag
- **Location:** Ouderkerk aan de Amstel, Netherlands (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, BigQuery, Cloud Computing, Continuous Integration, Software Debugging, DevOps, Github, Python (Programming Language), Redis, Regression Testing, OpenAI, Prometheus, Next.js, Search Technologies, Systems Integration, TypeScript, Large Language Models, Firebase, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Event Driven Architecture, Kubernetes, PydanticAI Framework, LiteLLM, Machine Learning Operations, Claude, Virtual Agents, Asynchronous Programming, Restful APIs, Agent SDK, GPT, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=48b843ed6cd3e599

## About the Role

* 5+ years of experience building and maintaining production backend systems.
 * Strong Python expertise, including APIs, asynchronous programming, testing, and clean architecture.
 * Hands-on experience developing LLM applications or AI agents in production.
 * Solid understanding of event-driven architectures, microservices, Kubernetes, and cloud infrastructure.
 * Experience with LLMOps, observability, CI/CD, and production troubleshooting.
 * Knowledge of AI security, including authentication, access controls, and prompt-injection protection.
 * Proven ability to lead technical decisions, mentor engineers, and work autonomously in a collaborative environment.

## Description

As our Senior Agentic Platform Engineer, you will take technical ownership of key components of Liz Agent, Seedtag's AI agent platform, ensuring scalability, reliability, and seamless integration across teams.

Your main responsibilities will include:

 * Agent Platform Development: Design, build, and maintain the core Liz Agent runtime, including agent execution, context management, and event streaming.
 * Tools & Integrations: Develop MCP tool servers, APIs, and authentication and policy services to enable secure agent access to internal data and capabilities.
 * Agentic AI Innovation: Enhance agent capabilities through multi-model routing, memory, durable execution, and LLM frameworks.
 * Reliability & Observability: Ensure platform stability, performance, and production debugging through monitoring, tracing, and evaluation tools.
 * Platform Architecture: Define scalable APIs, service patterns, CI/CD pipelines, and cloud-native deployment standards that enable teams to build agents independently.
 * Security & Quality: Implement robust security controls, prompt-injection protection, automated evaluations, and regression testing.
 * Technical Leadership: Drive architectural decisions, mentor engineers, and collaborate with Data, ML, Platform, and Product teams., 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.