vor 6 Tagen
Details
AI Engineer (Enablement)
freenow
Berlin
Vor Ort
vor 5 Tagen veröffentlicht
Stellenbeschreibung
<h2><strong>AI Engineer / AI Enablement Engineer (m/f/d)</strong></h2>
<p><strong>Location:</strong> Flexible — Hamburg, Berlin</p>
<h3><strong>About FREENOW</strong></h3>
<p>FREENOW empowers smarter mobility decisions, helping people move freely and cities thrive. As Europe’s leading Mobility Super App, we serve more than 54 million users across 16 markets and 170+ cities.</p>
<p>AI is becoming core to how we build products, operate the platform, and support our teams. To move from experimentation to real, measurable impact, we are building a <strong>central AI Enablement & Evaluation team</strong> — and we’re looking for a <strong>Senior AI Engineer</strong> to help turn AI into a reliable, scalable capability across the company.</p>
<p>If you enjoy building AI systems that actually ship, scale, and deliver value — not just demos — this is your next ride 🚕</p>
<h2><strong>Your Mission</strong></h2>
<p>As a Senior AI Engineer, you will sit at the intersection of <strong>AI engineering, evaluation, and enablement</strong>. Your role is to ensure that AI systems at FREENOW are <strong>production-ready, measurable, and safe</strong>, while accelerating adoption across product and engineering teams.</p>
<p>You will help transform AI from isolated pilots into <strong>reusable platforms, tools, and workflows</strong> used across the organization.</p>
<h2><strong>Your Daily Adventures Will Include</strong></h2>
<ul>
<li>Designing, building, and maintaining <strong>production-grade AI systems</strong> using LLMs, agents, and retrieval-based architectures</li>
<li>Owning and evolving the <strong>AI Evaluation Framework</strong>, including:</li>
<ul>
<li>multi-turn evaluations</li>
<li>quality, safety, and hallucination metrics</li>
<li>offline and production-data evaluation</li>
</ul>
<li>Partnering with Product, Engineering, Legal, and Security to ensure AI solutions are <strong>compliant, observable, and trustworthy</strong></li>
<li>Supporting and scaling <strong>internal AI products</strong> such as FreenowGPT and domain-specific AI assistants</li>
<li>Enabling teams through <strong>shared tooling, patterns, and best practices</strong> (e.g. Gemini enablement, prompt & agent patterns)</li>
<li>Building reusable AI components (RAG pipelines, agent orchestration, model access layers)</li>
<li>Helping define <strong>standards for agent-ready architecture</strong> (MCP integrations, model abstraction, permissions)</li>
<li>Monitoring AI system performance, cost, and reliability in production</li>
<li>Acting as a technical reference point for AI across squads — from experimentation to rollout</li>
</ul>
<h2><strong>Our AI & Tech Stack</strong></h2>
<p>Python | LLM APIs (Gemini, OpenAI) | Retrieval-Augmented Generation (RAG)<br>Databricks | Cloud Infrastructure | APIs & Backend Services<br>Evaluation tooling | Observability & monitoring | Internal developer tooling</p>
<p><em>(Exact tools matter less than strong engineering fundamentals — the stack will evolve.)</em></p>
<h2><strong>To Be Successful in This Role</strong></h2>
<ul>
<li>You have strong experience as an <strong>AI Engineer, ML Engineer, or Senior Software Engineer</strong> working with modern AI systems</li>
<li>You’ve built or operated <strong>LLM-based systems in production</strong>, not just prototypes</li>
<li>You understand the failure modes of LLMs (hallucinations, non-determinism, evaluation challenges)</li>
<li>You consistently balance speed, quality, and pragmatism; knowing when to ship, when to iterate, and when correctness is non-negotiable in production AI systems.</li>
<li>You are comfortable designing <strong>evaluation frameworks</strong> and defining quality metrics for AI behavior</li>
<li>You have solid backend engineering fundamentals (APIs, services, data access)</li>
<li>You enjoy working across teams and explaining complex AI concepts clearly</li>
<li>You care about <strong>reliability, safety, and real business impact</strong>, not hype</li>
<li>You are fluent in English</li>
</ul>
<h2><strong>Nice to Have</strong></h2>
<ul>
<li>Experience with agentic systems or multi-step workflows</li>
<li>Familiarity with AI governance, risk, or compliance considerations (e.g. GDPR, EU AI Act)</li>
<li>Experience enabling other teams through platforms, SDKs, or internal tools</li>
<li>Prior work in marketplaces, mobility, or large-scale consumer products<br><br></li>
</ul>
<h2><strong>Why This Role Matters</strong></h2>
<p>Most companies experiment with AI. Very few manage to scale it responsibly and profitably.</p>
<p>This role is central to:</p>
<ul>
<li>reducing AI risk in <strong>customer-facing systems</strong> (support, dispatch, booking),</li>
<li>unlocking company-wide productivity through <strong>internal AI products</strong>,</li>
<li>and building the technical foundations that allow FREENOW to move fast <strong>without breaking trust</strong>.</li>
</ul>
<p>You’ll help define how AI is built at FREENOW for years to come.</p>
<hr>
<h2><strong>BENEFITS & PERKS IN A NUTSHELL:</strong></h2>
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<li>Flexible working arrangements</li>
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<li>LinkedIn Learning</li>
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<li>Sabbatical & special leave policies</li>
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<li>WeRoad partnership</li>
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<li>Birthday, 24th + 31st December off</li>
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<li>Short term EU work policy</li>
</ul>
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<li>Mobility Credit</li>
</ul>
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<li>Health insurance</li>
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<li>Employee assistance program</li>
</ul>
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<p> </p>
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<p><strong>Plus more local benefits depending on your work location!</strong></p>
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<hr>
<h2><strong>DIVERSITY, EQUITY & INCLUSION:</strong></h2>
<p>Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.<br>We want you to grow and evolve, <a href="https://www.youtube.com/watch?v=dOUL_n8pSGQ">bring your true self to work</a>. </p>
<hr>
<h2><strong>ABOUT US:</strong></h2>
<p>Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. </p>
<p>In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?</p>
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Auf einen Blick
- Unternehmen
- freenow
- Standort
- Berlin
- Arbeitsmodell
- Vor Ort
- Veröffentlicht
- 21.07.2026