Customer Support Engineer till Kamstrup

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.

Xensam: Join the Future of SAM Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI. Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we’re scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it. Together, we build the future of SAM. About the role We're looking for an AI Enablement Engineer to help make AI a natural part of how we work at Xensam. In this role, you'll partner with teams across the business to identify opportunities where AI and automation can create real value. You'll design, build, and maintain AI-powered solutions that simplify workflows, improve productivity, and help our teams focus on what matters most. You'll work across Marketing, Sales, HR, Finance, Operations, Product, and Engineering, combining technical expertise with business understanding to turn ideas into practical solutions. This is a hands-on role with the opportunity to shape how AI is adopted across the entire company. Responsibilities Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users Design and develop reusable AI components, prompts, and workflows that different departments can leverage Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch-up Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non-deterministic workflows and analytics Build and manage self-hosted AI infrastructure including open-source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value Qualifications 3+ years of software development experience Strong experience with Python and API integrations Experience building solutions with LLMs and modern AI frameworks Experience working with RAG, vector databases, or agent frameworks Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar Experience working with open-source AI models and inference platforms Comfortable working with Linux, Docker, and self-hosted environments Strong problem-solving skills and a passion for building practical solutions Excellent communication skills and the ability to collaborate with both technical and non-technical teams Fluent in English, both written and spoken Bonus points if you have Experience with workflow automation platforms (e.g. n8n, Make, Temporal) Experience with cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI) Experience with MLOps or deploying machine learning systems into production Experience fine-tuning or hosting open-source language models Contributions to open-source projects or a portfolio of AI side projects What you get A generous work culture with free drinks and snacks, office massages, and more. Three days in-office (with remote work on Mondays and Fridays). An opportunity to shape your career growth while contributing to the company’s success. A dynamic position embracing "freedom under responsibility". If sales targets are met, all employees enjoy an annual destination trip. Other location-specific benefits. Our values at Xensam Rebellious We challenge the norm and act with initiative – always with responsibility. Humane We foster a caring, inclusive environment that values diversity and respects individuality. Harmony We value balance and create a supportive workplace where people thrive. As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.