2 days ago

Forward Deployed Engineer

Cyclomedia

Zaltbommel

2 days ago

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As a Forward Deployed Engineer at Cyclomedia, you will build the AI platform infrastructure from the ground up, enabling every team to deploy AI-powered tools safely and at scale. You will own the full stack, including the shared app framework, deploy pipeline, agentic monitoring, and data architecture, and later embed with business teams to ship production applications. The role requires proficiency in Python or a modern backend framework, hands-on experience with agentic AI, and familiarity with cloud-native development, Docker, Kubernetes, and IaC.

AI-enabledRemoteFull-timeSeniorPythonBackend Framework

Forward Deployed Engineer

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AI-enabledRemoteFull-timeSeniorPython

Salary

Not specified

Work Location

Zaltbommel, Gelderland, Netherlands, NL

Work Model

Remote

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

PythonBackend FrameworkAgentic AIPrompt EngineeringAzureDockerKubernetesInfrastructure as CodeCloud-Native DevelopmentSecurityData ArchitectureSchema RegistryFull-Stack EngineeringScalable ArchitectureAI-Native Mindset

Soft Skills

AutonomyJudgmentInspirationSharp EyeHigh Standards

Preferred Qualifications

Technical (Nice-to-have)

RAG PipelinesVector DatabasesAI-Native Application ArchitecturesGeospatial DataGovernment/DOT CustomersEnterprise Software

Key Responsibilities

•Design and own the shared infrastructure for deploying AI tools safely.
•Build and operate the agentic monitoring layer for AI applications.
•Maintain the schema registry and data architecture across AI applications.
•Catch duplication, integration opportunities, and emerging risk.
•Embed into internal teams to identify AI value and build production applications.
•Build and ship production software with scalable architecture.
•Secure resources, applications, and agents in complex cloud environments.

Forward Deployed EngineerAI PlatformAgentic AIFull-StackCloud-NativeAzureKubernetesData InfrastructureAnalyticsRemote

Core Qualifications

Technical (Must-have)

Soft Skills

AutonomyJudgmentInspirationSharp EyeHigh Standards

Key Responsibilities

•Design and own the shared infrastructure for deploying AI tools safely.

•Build and operate the agentic monitoring layer for AI applications.

•Maintain the schema registry and data architecture across AI applications.

•Catch duplication, integration opportunities, and emerging risk.

•Embed into internal teams to identify AI value and build production applications.

•Build and ship production software with scalable architecture.

•Secure resources, applications, and agents in complex cloud environments.