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

NICE TO HAVE

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.

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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.

---------------------------------------------------------------------------------------------------------------------------------

ABOUT US:

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.

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?

Role

AI Engineer (Enablement)

Tags for this job

Python AI Rust Databricks

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