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# Agentic Platform Engineer

- **Company:** Seedtag
- **Location:** Paris, France (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, 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, Agent SDK, Network Server, GPT, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b85f18b98c9b910e

## About the Role

* 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.

## Description

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., 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.