AI Engineer (Enablement)

About the role

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 inc

Requirements

• Experience with agentic systems or multi-step workflows
• Familiarity with AI governance, risk, or compliance considerations (e.g. GDPR, EU AI Act)
• Experience enabling other teams through platforms, SDKs, or internal tools
• Prior work in marketplaces, mobility, or large-scale consumer products
• Why This Role Matters
• Most companies experiment with AI. Very few manage to scale it responsibly and profitably.
• This role is central to:
• reducing AI risk in customer-facing systems (support, dispatch, booking),
• unlocking company-wide productivity through internal AI products ,
• and building the technical foundations that allow FREENOW to move fast without breaking trust .
• You'll help define how AI is built at FREENOW for years to come.
• BENEFITS & PERKS IN A NUTSHELL:
• Flexible working arrangements
• LinkedIn Learning
• Sabbatical & special leave policies
• WeRoad partnership
• Birthday, 24th + 31st December off
• Short term EU work policy
• Mobility Credit
• Health insurance
• Employee assistance program
• Plus more local benefits depending on your work location!
• DIVERSITY, EQUITY & INCLUSION:
• 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.
• We want you to grow and evolve, bring your true self to work .

Benefits

Additional Information

AI Engineer / AI Enablement Engineer (m/f/d) Location: Flexible - Hamburg, Berlin About FREENOW 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. 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 central AI Enablement & Evaluation team - and we're looking for a Senior AI Engineer to help turn AI into a reliable, scalable capability across the company. If you enjoy building AI systems that actually ship, scale, and deliver value - not just demos - this is your next ride 🚕 Your Mission As a Senior AI Engineer, you will sit at the intersection of AI engineering, evaluation, and enablement . Your role is to ensure that AI systems at FREENOW are production-ready, measurable, and safe , while accelerating adoption across product and engineering teams. You will help transform AI from isolated pilots into reusable platforms, tools, and workflows used across the organization. Your Daily Adventures Will Include Designing, building, and maintaining production-grade AI systems using LLMs, agents, and retrieval-based architectures Owning and evolving the AI Evaluation Framework , including: multi-turn evaluations quality, safety, and hallucination metrics offline and production-data evaluation Partnering with Product, Engineering, Legal, and Security to ensure AI solutions are compliant, observable, and trustworthy Supporting and scaling internal AI products such as FreenowGPT and domain-specific AI assistants Enabling teams through shared tooling, patterns, and best practices (e.g. Gemini enablement, prompt & agent patterns) Building reusable AI components (RAG pipelines, agent orchestration, model access layers) Helping define standards for agent-ready architecture (MCP integrations, model abstraction, permissions) Monitoring AI system performance, cost, and reliability in production Acting as a technical reference point for AI across squads - from experimentation to rollout Our AI & Tech Stack Python | LLM APIs (Gemini, OpenAI) | Retrieval-Augmented Generation (RAG) Databricks | Cloud Infrastructure | APIs & Backend Services Evaluation tooling | Observability & monitoring | Internal developer tooling (Exact tools matter less than strong engineering fundamentals - the stack will evolve.) To Be Successful in This Role You have strong experience as an AI Engineer, ML Engineer, or Senior Software Engineer working with modern AI systems You've built or operated LLM-based systems in production , not just prototypes You understand the failure modes of LLMs (hallucinations, non-determinism, evaluation challenges) You consistently balance speed, quality, and pragmatism; knowing when to ship, when to iterate, and when correctness is non-negotiable in production AI systems. You are comfortable designing evaluation frameworks and defining quality metrics for AI behavior You have solid backend engineering fundamentals (APIs, services, data access) You enjoy working across teams and explaining complex AI concepts clearly You care about reliability, safety, and real business impact , not hype You are fluent in English

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