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Amsterdam
4 Jun 2026
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AI Engineer

Lleverage

Amsterdam
4 Jun 2026
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AI Engineer

Lleverage.ai is seeking an AI Engineer to build intelligent agents and enhance AI-driven workflow automation. The role involves developing AI agents, fine-tuning generative models, building full-stack applications, and implementing evaluation frameworks. Ideal candidates have deep AI expertise, startup mentality, and experience with TypeScript and Next.js.

AIRemoteFull-timeEntry LevelGenerative AIFine-tuning

AI Engineer

Lleverage.ai is seeking an AI Engineer to build intelligent agents and enhance AI-driven workflow automation. The role involves developing AI agents, fine-tuning generative models, building full-stack applications, and implementing evaluation frameworks. Ideal candidates have deep AI expertise, startup mentality, and experience with TypeScript and Next.js.

Apply
AIRemoteFull-timeEntry LevelGenerative AI

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)
Generative AIFine-tuningModel DeploymentAI AgentsFunction CallingLLM EvaluationRetrieval Augmented GenerationVector DatabasesTypeScriptNext.jsBackend APIsFrontend DevelopmentRAGProduction MonitoringFull-Stack Development
Soft Skills
First Principles ThinkingStartup MentalityAmbiguity ComfortFast IterationCustomer Value Focus

Preferred Qualifications

Technical (Nice-to-have)
TypeScriptNext.jsEarly-stage startupsSaaSLow-code platformsOpen source

Key Responsibilities

  • •Build intelligent agents and enhance Lleverage Copilot to automate workflows through natural language interfaces.
  • •Implement evaluation frameworks and metrics to measure AI model performance and business alignment.
  • •Design fine-tuning strategies for generative AI models, optimising for specific product use cases.
  • •Build backend APIs and frontend interfaces around AI models using Next.js/TypeScript.
  • •Develop and optimize RAG-based knowledge retrieval systems.
  • •Implement monitoring and alerting systems for AI models in production environments.
  • •Contribute to fast feedback loops — release quickly, learn, and improve.
  • •Constantly assess how engineering decisions impact customer value and business outcomes.
AI EngineerGenerative AIFine-tuningTypeScriptNext.jsRAGAI AgentsAmsterdamRemoteFull-time
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