
Artefact · Berlin
Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team f...
Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer
(m/f/d) to join the tech team full-time. Ideally, you are located in Hamburg, Munich, Berlin or nearby - but if you're based
elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you?
Our data & AI experts develop production-ready, scalable solutions that bring real business value to our clients. You’ll work in
interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven
products.
Innovate.
You’ll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it’s a
proof-of-concept or a scalable solution.
Build.
You’ll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart,
robust solutions using data or LLMs and other AI technologies.
Train.
You’ll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You’ll also share your
knowledge within the team and benefit from our partners’ training offers (Google, AWS, etc.).
Collaborate.
You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical
business impact.
management and internal tools.
databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models.
frameworks.
and model evaluation.
deliver polished presentations.
Why ARTEFACT?
mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.
Let’s shape the future of AI - together!
Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above
all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you.
Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants,
data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid
growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their
data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI
to enhance organizations and their people.
We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where
everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender
identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are!
Curious to learn more? Reach out to us at: bewerbung-de@artefact.com.
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?
INTRO At Adsquare, our mission is driven by our core focus: * Passion – Solving complex challenges with great people, tech, and data. * Niche – Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do: * Drive: We turn ambition into action to deliver valuable outcomes. * Resilience: We adapt, persevere, and grow stronger. * No BS: We value honesty, transparency, and clear communication. * Humble: We choose modesty over vanity and let results speak for themselves. * Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work. ABOUT THE TEAM As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs. To give you an idea of the work, your daily mission might involve: * Data Ingestion & Products: Developing data solutions built on massive volumes of location signals, geospatial (places) data, and audience attribute data. * Data Integrations & Egress: Architecting privacy-first, massive-scale data egress solutions to ensure our datasets reach external partners reliably, securely, and efficiently. Regardless of the specific squad, you will work alongside a talented team of Data and Backend Engineers under the guidance of a Technical Team Lead, operating with a high degree of autonomy and a strong software engineering mindset. YOUR MISSION * Data Pipeline Ownership: Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget. * Architect Scalable Solutions: Design and build robust data architectures required to process and transfer terabytes of data. * Pipeline Optimization: Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling. * Engineering Rigor: Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code. * Data Monitoring: Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making. * Collaboration & Mentorship: Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices. YOUR PROFILE We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment. Must-Have Technical Skills: * Programming Mastery: Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles. * Big Data & PySpark: Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg. * Advanced Optimization Skills: Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles. * Database & Storage Architecture: Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks). * Cloud Native (AWS): Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch). * Infrastructure & Orchestration: Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions. * Engineering Fundamentals: Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines. * AI tools: Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code. NICE TO HAVE * Compiled Languages: Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython). * Geospatial Data: Experience working with GIS (Geographic Information Systems) and geo-spatial datasets. * Data Formats: Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance. * Streaming Technologies: Familiarity with Kafka and Flink. * Backend Context: Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design). WHY US? * Hybrid work model * 30 vacation days * Learning budget * Regular team and company events * Latest hardware of your choice * Pet-friendly Berlin office RECRUITING PROCESS COULD REQUIRE ON SITE STEPS For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * Step 1: Short 30-min take-home technical quiz. * Step 2: Value-based interview (30 mins). * Step 3: Deep-dive technical interview (1.5 hours) with the Data team. * Step 4: Practical data-crunching challenge. * Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other. WORK MODEL Hybrid in Berlin, Remote for B2B opportunity
ABOUT ICE SERVICES ICE Services is a music technology company built by rightsholders, for rightsholders. We simplify the complexities of the music royalty chain through an innovative suite of licensing, processing, and copyright services, enabling our customers to accurately and efficiently compensate songwriters and composers for the use of their works. A joint venture between PRS, STIM, and GEMA, ICE Services is the result of a big vision for the industry that harnesses years of combined experience in the multi-territory music market. Serving over 330,000 rightsholders and leveraging a copyright database comprising 55 million musical works, ICE Services’ operations touch 250+ territories to distribute more than €1bn in royalties per year, with a total of over €5bn distributed to date. We’re based in the UK, Germany, and Sweden. ABOUT THE ROLE As a Senior Backend Engineer, you will play a pivotal role in the development and enhancement of our new copyright product. Your responsibilities will include hands-on product engineering, working with a team of talented product engineers, designing and implementing complex systems, and collaborating with cross-functional teams to deliver exceptional products to our customers. If you thrive in a collaborative environment and possess a keen eye for detail, this is an excellent opportunity to contribute to groundbreaking projects and shape the future of the ICE Services' product portfolio. We’re building a strong foundation for our company on these products. Bringing the technical expertise in-house and being part of a modern, product-centric technology organisation that works based on agile methodologies and principles are key pillars of our technology strategy. We’re creating the kind of teams talked about in Inspired by Marty Cagan, and following principles in Accelerate by Nicole Forsgren. TECHNOLOGY STACK Our copyright product is primarily running in AWS with the following technologies: • Java SpringBoot Microservices • DynamoDB • OpenSearch • Postgres • S3 • Kinesis • SNS • SQS • Docker / ECS / EKS • Serverless frameworks KEY RESPONSIBILITIES: * Architect and Implement: Work as part of a product engineering team to design and implement complex software systems, ensuring scalability, reliability, and performance. * Collaboration: Collaborate with product managers and cross-functional teams to define product requirements and create comprehensive technical specifications. * Code Reviews: Conduct thorough code reviews, providing constructive feedback to maintain code quality and adherence to best practices. * Technical Ownership: Take ownership of critical technical decisions and provide expert guidance in selecting appropriate technologies and tools. * Development Practices: Champion best development practices, includ- ing code documentation, unit testing, and version control. * Risk Mitigation: Identify and mitigate technical risks, proactively ad- dressing potential challenges throughout the product development lifecycle. * Industry Trends: Stay up-to-date with the latest industry trends and advancements, integrating new technologies to enhance product offerings and maintain a competitive edge. * AI-Assisted Engineering: Embrace AI-powered tools (e.g., coding assistants, automated testing, intelligent search) as productivity multipliers, and explore opportunities where AI can enhance our copyright products. * Mentoring: Mentor and coach junior engineers, fostering a culture of continuous learning and professional growth. REQUIREMENTS AND QUALIFICATIONS: * Experience: 5 to 7 years of relevant experience in product engineering. Previous experience in a senior or lead engineering role is highly preferred. * Technical Expertise: Demonstrated expertise in programming languages such as Java alongside proficiencies in web technologies, database management, and cloud platforms. * Proven Track Record: A history of designing, developing, and delivering successful software products from concept to launch. * Collaboration Skills: Ability to work collaboratively with product managers, designers, and other stakeholders to translate product requirements into technical solutions. * Communication Skills: Clear and effective communication skills, both written and verbal, to convey technical concepts to technical and non-technical audiences alike. * Innovation: A passion for innovation, including openness to leveraging AI-powered tools and technologies in daily engineering work. Commitment to staying abreast of emerging technologies and industry trends. * Quality Focus: A strong commitment to code quality, unit testing, and other best practices in software engineering. * Adaptability: The ability to thrive in a fast-paced and rapidly evolving environment, with a willingness to take on new challenges and responsibilities. * Problem-Solving: Excellent analytical and problem-solving skills to resolve complex technical challenges. WHAT WE OFFER: * Competitive local benefits based on your location * We promote flexible working regarding time and/or place * Both mental and physical health initiatives * Corporate pension scheme * Comprehensive training and development opportunities * Industry insider events, team socials and company events * Enhanced holiday allowance We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. We are committed to making all stages of our recruitment process accessible to candidates with disabilities. Please speak to our recruitment team and we will work with you to make reasonable adjustments to ensure you can perform at your best throughout your application.