AI Adoption Engineer - m/f/d

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. ---------------------------------------------------------------------------------------------------------------------------------- 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?

HELP US CHANGE THE WAY THE WORLD WORKS BUILD SOMETHING THAT MATTERS. Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 10,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential. ABOUT THE ROLE AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in. As a Solutions Engineer in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering: discovering high-value use cases, scoping them, building them, and making sure they stick. You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own. This is a technical role. You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a Solutions Engineer, you set the standard for what that looks like. You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture. You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen. WHAT YOU WILL DO * Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer. * Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain. * Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer. * Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently. * Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects. * Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps. * Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows. YOU MIGHT BE A FIT IF… * You have 3+ years of experience in a technical, customer-facing role - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product. * You have experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side: building demos that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible. * You are comfortable running workshops with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications. * You understand AI deeply and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You write production-quality code in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup. Agentic coding tools are a core part of how you operate. * You are fluent in English (C1+). German is a strong plus, since many of our customers are German-speaking enterprises. * You are a kind person who cares about the people around you. Bonus: you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus. THE ENVIRONMENT We work from our office in Berlin, Greifswalder Strasse 212. Everyone works together in person because the hardest problems get solved faster at a whiteboard than in a Slack thread. Conversations happen faster, problems get solved quicker, and we actually know each other. Days start at 8:30. Lunch & dinner are together. We run, go to the gym, and take care of ourselves. Health is not separate from work here, it is part of how we work well. The vibe is calm but intense. No one is yelling or panicking. But everyone is working hard on things that matter. COMPENSATION Salaries are transparent and tied to levels, not negotiation. All roles include equity. We will figure out the right level together based on your experience and scope. Levels are about the work you own, not your title or years of experience. We narrow down the expected salary range early in the process. NEXT STEPS We move fast. Most processes complete within two weeks. If this sounds like your kind of work, we would like to meet you.