AI Backend Software Engineer II - AI Application Platform

Booking.com is seeking an AI Backend Software Engineer II to join their AI Application Platform team in Amsterdam. The role involves designing and building scalable backend systems for AI-powered experiences, collaborating with ML engineers and data scientists, and tackling complex performance challenges. Candidates should have 3+ years of backend engineering experience, proficiency in Java, Scala, or Python, and experience with distributed systems, AI/ML integration, and cloud technologies.

AI-enabledHybridFull-timeMid LevelJavaScala

AI Backend Software Engineer II - AI Application Platform

Booking.com is seeking an AI Backend Software Engineer II to join their AI Application Platform team in Amsterdam. The role involves designing and building scalable backend systems for AI-powered experiences, collaborating with ML engineers and data scientists, and tackling complex performance challenges. Candidates should have 3+ years of backend engineering experience, proficiency in Java, Scala, or Python, and experience with distributed systems, AI/ML integration, and cloud technologies.

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AI-enabledHybridFull-timeMid LevelJava

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

JavaScalaPythonMySQLRedisDockerKubernetesAWSGCPFeature EngineeringAI AgentsContext EngineeringRetrievalOrchestrationObservability

Soft Skills

Problem SolvingOwnershipCollaborationCommunicationAdaptability

Key Responsibilities

•Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
•Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
•Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
•Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
•Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
•Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

AIBackendSoftware EngineerPlatformMachine LearningCloudDistributed SystemsAmsterdamHybridFull-time