AI Engineer to WorkVis

What will you do? As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both. You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up. Areas of ownership: You'll own work across two complementary tracks, and you'll ship in both. Classical ML, in production, for operational leverage Risk and fraud models across payments, top-ups, and account behaviour Churn prediction and retention modelling on a user base of a million-plus Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining LLMs and AI agents, from internal automation to in-product features Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses Move LLM capability into the product as user-facing features Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 4+ years of hands-on ML engineering in Python, with real production ownership not just notebooks Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration Strong written and spoken English, and the ability to translate between business problems and ML ones Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes Obsession with staying up-to-date on developments in the AI space Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus Background in fintech, payments, telecom, or other regulated / operational domains is a plus Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are Sweden's leading app and marketplace for booking beauty and wellness services. As a SaaS company with industry-leading software, we empower more than 16,000 professionals across the country. Our platform brings together nearly every salon and clinic in Sweden, making it easy for consumers to book appointments with hairdressers, massage therapists, podiatrists, beauty salons, chiropractors, and many other specialists—all in one place. On Bokadirekt.se, consumers can discover, book, and pay for treatments and services in just a few clicks. Every month, our platform is visited by 3 million consumers, and more than 2 million bookings are made through our website and app. We’re growing rapidly and are currently a team of more than 100 employees, with offices in Stockholm and Luleå. ABOUT THE ROLE We are looking for a Data Engineer to join our Data & Analytics team and help shape the future of data and AI at Bokadirekt. As a Data Engineer, you will be responsible for building, maintaining, and evolving the data platform that powers analytics, business intelligence, and AI across the company. You'll work at the intersection of data engineering and AI, ensuring our data infrastructure is reliable, scalable, and ready to support everything from reporting and experimentation to LLM-powered features and machine learning pipelines. You will collaborate closely with product managers, software engineers, analysts, and other stakeholders to create high-quality data products and enable data-driven decision-making throughout the organization. This is an opportunity to have a significant impact on both our technical platform and how data and AI are used to create value for millions of users every month. WHAT YOU'LL DO * Design, build, and optimise scalable ELT pipelines that power analytics, reporting, and AI initiatives across the company * Build a reliable, trusted and well-documented source of truth for company KPIs * Work on the integration of AI capabilities into our data infrastructure * Collaborate on the development and deployment of machine learning solutions and AI-powered features * Identify and carry out data platform cost optimization initiatives WHO YOU ARE * Degree in Computer Science, Data Science, Statistics, Physics or related field * Proven experience (4-6 years) as a Data Engineer, Data Scientist, ML Engineer or AI Engineer, ideally in a technology-driven environment * Strong proficiency in SQL and Python * Solid data engineering fundamentals with hands-on AI experience * Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders * Experience with GCP (BigQuery, GCS, Gemini Agent Platform, Looker), Airflow, dbt and Cube is a plus. Bonus points for prompt engineering, LLM APIs, NL querying and RAG * Professional fluency in English WHAT WE OFFER * The opportunity to build and scale the data platform behind one of Sweden's most widely used consumer apps * The chance to work with modern data and AI technologies, helping shape the foundations for analytics, machine learning, and LLM-powered solutions * A collaborative culture built on ownership, innovation, and knowledge sharing * A flexible hybrid work model with four days in the office each week, including Wednesdays as our "Inspiration Day," when the whole company comes together for breakfast and shared activities * A modern office in the heart of Stockholm * A competitive salary and benefits package ABOUT THE POSITION Start date: As soon as possible / By agreement Location: Our office at Kungsgatan 38 in central Stockholm (hybrid) Employment type: Full-time, permanent position Application deadline: August 14 APPLICATION We review applications continuously, and the position may be filled before the application deadline. We therefore encourage you to apply as soon as possible. Summer is here, and we are also taking some time to recharge. During the holiday period, our response times may be slightly longer than usual, and the recruitment process will resume from week 32. Thank you for your patience. We wish you a wonderful summer and hope to hear from you soon!