1GLOBAL
.Senior AI Engineer(m/w/x)
Vollzeitnur vor OrtSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
FRFREENOW
AI Engineer (Enablement)(m/w/x)
Berlin, Hamburg
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Weiterbildungsangebote
- LinkedIn Learning
Workation & Sabbatical
- Sabbatical and special leave policies
Mitarbeiterrabatte
- WeRoad partnership
Mehr Urlaubstage
- Birthday off
- 24th December off
- 31st December off
Sonstige Vorteile
- Short-term EU work policy
- Mobility Credit
Gesundheits- & Fitnessangebote
- Health insurance
Mentale Gesundheitsförderung
- Employee assistance program
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens FREENOW erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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FRFREENOW
AI Engineer (Enablement)(m/w/x)
Berlin, Hamburg
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Weiterbildungsangebote
- LinkedIn Learning
Workation & Sabbatical
- Sabbatical and special leave policies
Mitarbeiterrabatte
- WeRoad partnership
Mehr Urlaubstage
- Birthday off
- 24th December off
- 31st December off
Sonstige Vorteile
- Short-term EU work policy
- Mobility Credit
Gesundheits- & Fitnessangebote
- Health insurance
Mentale Gesundheitsförderung
- Employee assistance program
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens FREENOW erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
FREENOW
Branche
Transportation
Beschreibung
The company empowers smarter mobility decisions, helping people to move freely and cities to thrive.
Noch nicht perfekt?
- 1GLOBAL
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