Jobs / Seedtag
Agentic Platform Engineer
Seedtag · Paris, A8, France
Paris, A8, FranceExp: 3+ yrsRemote
Remuneration
Home office setup budget up to €1,000; paid trips to Madrid; MacBook Pro M3; learning platform and optional language classes; team activities and offsites.
Location
Paris, A8, France
Visa sponsorship
Not specified
Job summary
Build and scale a cloud-native AI agent platform, owning its runtime, integrations, reliability, security, and deployment. The work includes agent execution, context management, event streaming, MCP tool servers, and LLM capabilities, with observability and automated evaluations across a platform running on GKE and using technologies such as Python, Go, Kubernetes, Vertex AI, LangGraph, and Pub/Sub.
Benefits
Home office setup budget up to €1,000MacBook Pro M3Learning platformOptional language classesPaid trips to Madrid headquartersTeam activities and offsites
Qualifications
- At least 3 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, including tool calling, structured outputs, and evaluations.
- 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 across teams.
Responsibilities
- Build and maintain the agent runtime, including agent execution, context management, and event streaming.
- Develop MCP tool servers, APIs, and integrations for secure access to internal data and services.
- Improve agent capabilities through memory, multi-model routing, durable execution, and LLM frameworks.
- Monitor platform performance, troubleshoot production issues, and improve tracing and evaluation.
- Build APIs, service templates, CI/CD pipelines, and cloud-native deployments for independent agent development.
- Implement security practices, automated evaluations, and regression testing.
- Own features from development through deployment and monitoring in collaboration with Data, ML, Platform, and Product teams.
Skills
Argo CDBigQueryGCPGitHubGitHub ActionsGKEGoKubernetesKustomizePrometheusPub/SubPythonRedisTypeScript
Languages
PythonGoTypeScript
Travel
Paid trips to Madrid headquarters
Industry
Advertising technologyNeuro-contextual advertising
Relocation
No