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FRFREENOW

AI Engineer (Enablement)(m/w/x)

Berlin, Hamburg
Full-timeOn-siteSenior
AI/ML

Building and maintaining production-grade AI systems with LLMs and agents for a European mobility app. Experience with LLM failure modes and evaluation frameworks required. Flexible working arrangements, LinkedIn Learning access.

Requirements

  • Strong experience as AI Engineer, ML Engineer, or Senior Software Engineer with modern AI systems
  • Built or operated LLM-based systems in production
  • Understanding of LLM failure modes (hallucinations, non-determinism, evaluation challenges)
  • Balancing speed, quality, and pragmatism in production AI systems
  • Designing evaluation frameworks and defining quality metrics for AI behavior
  • Solid backend engineering fundamentals (APIs, services, data access)
  • Enjoyment of working across teams and explaining complex AI concepts clearly
  • Caring about reliability, safety, and real business impact
  • Fluent in English
  • Experience with agentic systems or multi-step workflows
  • Familiarity with AI governance, risk, or compliance considerations
  • Experience enabling other teams through platforms, SDKs, or internal tools
  • Prior work in marketplaces, mobility, or large-scale consumer products

Tasks

  • Design and build production-grade AI systems
  • Maintain AI systems using LLMs, agents, and retrieval-based architectures
  • Develop and evolve the AI Evaluation Framework
  • Conduct multi-turn evaluations
  • Measure quality, safety, and hallucination metrics
  • Evaluate AI systems using offline and production data
  • Ensure AI solutions are compliant, observable, and trustworthy
  • Collaborate with Product, Engineering, Legal, and Security teams
  • Support and scale internal AI products
  • Enable teams with shared tooling, patterns, and best practices
  • Build reusable AI components
  • Create RAG pipelines, agent orchestration, and model access layers
  • Define standards for agent-ready architecture
  • Integrate MCP and model abstraction
  • Manage permissions for AI systems
  • Monitor AI system performance, cost, and reliability
  • Serve as a technical reference for AI across squads
  • Support AI experimentation and rollout

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishFluent

Benefits

Flexible Working

  • Flexible working arrangements

Learning & Development

  • LinkedIn Learning

Workation & Sabbatical

  • Sabbatical and special leave policies

Corporate Discounts

  • WeRoad partnership

More Vacation Days

  • Birthday off
  • 24th December off
  • 31st December off

Other Benefits

  • Short-term EU work policy
  • Mobility Credit

Healthcare & Fitness

  • Health insurance

Mental Health Support

  • Employee assistance program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FREENOW and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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