2 days ago

Senior AI Platform Engineer

Aquablu

Amsterdam

2 days ago

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Aquablu is seeking a Senior AI Platform Engineer to build the platform that enables rapid product development, including prototyping environments, CI/CD pipelines, AI tooling, and agent runtime. The role requires hands-on engineering experience with production systems, AI-native coding, and platform/infrastructure background. Based in Amsterdam with a hybrid work model (4 days/week in office).

AIHybridFull-timeSeniorPythonCI/CD

Senior AI Platform Engineer

Apply

AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: 4 days per week in office in Amsterdam Houthavens

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

PythonCI/CDAI toolingAgent orchestrationLLM workflowsInfrastructureDeveloper ExperienceML/AI toolingTest automationQuality automationEval toolingReliability toolingObservabilityKubernetesDocker

Soft Skills

multiplier mindsetlearn fastship under uncertaintyjudgmentautonomy

Key Responsibilities

•Build the prototyping and discovery environment for rapid testing of ideas.
•Own CI/CD and deploy infrastructure for fast, repeatable, safe production path.
•Build automated testing and quality gates with AI-generated and AI-maintained test suites.
•Own QA strategy for the digital org, encoded in infrastructure.
•Build evaluation infrastructure for systems with non-deterministic outputs.
•Own agent and workflow runtime including orchestration, permissions, versioning, cost, and monitoring.
•Build AI tooling and enablement rails for builders.
•Provide observability and reliability signals for production systems and agents.
•Evaluate, adopt, and roll out new tools across the team.

Senior AI Platform EngineerPlatform EngineeringAIInfrastructureCI/CDAgentic SystemsLLMAmsterdamHybridFull-time

Key Responsibilities

•Build the prototyping and discovery environment for rapid testing of ideas.

•Own CI/CD and deploy infrastructure for fast, repeatable, safe production path.

•Build automated testing and quality gates with AI-generated and AI-maintained test suites.

•Own QA strategy for the digital org, encoded in infrastructure.

•Build evaluation infrastructure for systems with non-deterministic outputs.

•Own agent and workflow runtime including orchestration, permissions, versioning, cost, and monitoring.

•Build AI tooling and enablement rails for builders.

•Provide observability and reliability signals for production systems and agents.

•Evaluate, adopt, and roll out new tools across the team.