/#jobs
#Platform#About Us#Employers#AI Jobs
Get Started
Amsterdam
4 weeks ago
Senior AI Product Engineer (Full-Stack) logo

Senior AI Product Engineer (Full-Stack)

Futurewhiz

Amsterdam
4 weeks ago
Apply

Senior AI Product Engineer (Full-Stack)

Futurewhiz is seeking a Senior AI Product Engineer (Full-Stack) to turn AI experiments into dependable software for publishing workflows. The role is hybrid in Amsterdam, requires strong Python and LLM experience, and offers €4,900–€5,600 gross per month. Candidates must already have the right to work in the Netherlands or EU.

AI-enabledHybridFull-timeSeniorPythonLLM-powered Products

Senior AI Product Engineer (Full-Stack)

Futurewhiz is seeking a Senior AI Product Engineer (Full-Stack) to turn AI experiments into dependable software for publishing workflows. The role is hybrid in Amsterdam, requires strong Python and LLM experience, and offers €4,900–€5,600 gross per month. Candidates must already have the right to work in the Netherlands or EU.

Apply
AI-enabledHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid (minimum 50% at the office)

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
PythonLLM-powered productsModel APIsAgent workflowsAI systemsAI toolsBackendFrontendInfrastructureArchitectureReliabilitySecurityMaintainabilityQualityCost
Soft Skills
Sound judgementIndependent ownershipCommunicationMentoringCollaborationPragmaticConstructiveCurious

Preferred Qualifications

Technical (Nice-to-have)
ReactTypeScriptCloud infrastructureContainersCI/CDLLM evaluationData analysisApplied machine learning

Key Responsibilities

  • •Own the technical direction for an AI-assisted product area from early discovery through production operation
  • •Build across the stack: Python services and APIs, data flows, user-facing interfaces and the infrastructure needed to run them
  • •Design robust LLM and agent-based workflows, including prompts, evaluations, feedback loops, observability and safeguards
  • •Translate editorial research and user feedback into technical options, trade-offs and testable plans
  • •Identify the smallest useful experiments that can resolve important technical or product uncertainty
  • •Create architectures that support rapid learning now without preventing the strongest ideas from becoming durable products
  • •Develop reusable platform capabilities and integration patterns that can support multiple content workflows
  • •Set pragmatic standards for reliability, security, maintainability, quality and cost—and help the team apply them
  • •Use AI coding tools fluently while critically reviewing their output and remaining accountable for the software you ship
  • •Anticipate dependencies, investigate difficult failures across components and keep production systems effective as usage grows
  • •Raise the engineering bar through design discussions, code reviews, pairing and informal mentoring
  • •Navigate technical trade-offs with both technical and non-technical stakeholders, including when priorities or perspectives differ
  • •Travel to Groningen for one or two days approximately once every two months to work with colleagues there
AIProduct EngineerFull-StackEdTechPythonLLMHybridAmsterdamSeniorB Corp
/#jobs

Your gateway to a successful career. Show your growth. Be ready for your next step. Capture and seize the best opportunities.

  • Data
  • FAQ
  • Articles
  • AI Jobs
  • Platform
  • Employers
  • About Us
  • Legal
© 2026/#jobsAll rights reserved.

For queries/support, email jobs.support@slashhash.ai