Tech.

Job Title: Algorithm Engineer – Recommendation Systems About the Role: We’re seeking a skilled Algorithm Engineer to develop next-generation recommendation systems for a high-traffic gaming platform. You’ll design algorithms that personalize content, boost engagement, and optimize conversion across feeds, search, channels, and in-game experiences. Key Responsibilities: Build and optimize recall, ranking, and re-ranking models for personalized recommendations. Analyze user behavior, preferences, and content metadata to create robust user and content profiles. Collaborate with product, engineering, and analytics teams to turn business requirements into scalable solutions. Leverage large-scale real-time and offline data for modeling, similarity computations, and conversion analysis. Explore multi-modal data (text, image, video) to enhance recommendation diversity and personalization. Requirements: Bachelor’s or higher in CS, Math, Statistics, or related field. 3+ years of experience in recommendation systems or algorithm development. Strong grasp of collaborative filtering, embeddings, sequence modeling, and ranking strategies. Solid analytical, problem-solving, and teamwork skills. Experience with cloud AI platforms or recommendation engineering is a plus. Why Join Us: Work on cutting-edge recommendation tech for a growing gaming platform. Collaborate with a passionate, cross-functional team. Opportunity to experiment with multi-modal AI and state-of-the-art algorithms.

Job Responsibilities: Implement AI applications according to requirements, including large model calls, API development, and data processing. Build an enterprise knowledge base (data cleaning, embedding, vector retrieval). Use vector databases (Milvus/Qdrant/FAISS, etc.) to complete indexing, retrieval, and debugging. Write scripts, DAG processes, MCP tool plugins, and perform other basic engineering work. Job Requirements: Proficient in Python with basic backend development skills. Experience using at least one large model API; RAG/knowledge base experience is preferred. Familiar with either a vector library or an Agent framework. Experience in AI application implementation or a strong interest in large models; strong hands-on skills. Basic knowledge of algorithms and NLP/ML. Experience Requirements: 3+ years of experience in AI-related fields; mathematics, computer science, or related majors preferred. Has practical experience in implementing large-scale enterprise-level models.

Engineering Team Manager – iGaming Payment Platforms   Form part of an international iGaming organisation Lead high-impact engineering teams across the payment platform Drive technical strategy, scalability, and product excellence   ? Hybrid in Stockholm ? Full-time, Permanent ? Salary: Circa 95k SEK/month (depending on experience)   A leading and well-established iGaming company is seeking an Engineering Team Manager to oversee technical strategy and execution across platform and payment domains. This is a senior leadership opportunity for someone who thrives in high-traffic, performance-critical environments and is passionate about building resilient systems, scalable architectures, and high-performing engineering teams.   This role combines hands-on technical competence with strategic leadership. You will shape technical direction, mentor engineering teams, and collaborate closely with product, compliance, and payment stakeholders to deliver best-in-class gaming experiences.   Your Role Set the technical vision and engineering roadmap across multiple product and payment platform verticals Lead, mentor, and scale engineering teams across backend, integration, frontend, and DevOps Guide teams responsible for secure, stable, and compliant payment flows across markets and providers Partner closely with senior product and business stakeholders to translate requirements into scalable, high-availability technical solutions Drive excellence in code quality, architecture, test automation, and operational reliability Establish engineering best practices across development, testing, deployment, and incident management Build and maintain relationships with internal stakeholders and external payment partners Promote a culture of accountability, ownership, continuous improvement, and technical innovation Oversee hiring, capability development, and performance management for hybrid and distributed teams   What You Bring 8+ years of hands-on software engineering experience, including at least 2+ years in technical leadership or engineering management Strong understanding of payment integrations, APIs, and transaction-processing systems (advantageous but not mandatory) Proven ability to manage and scale engineering teams in complex, high-availability environments Deep knowledge of modern engineering practices, including microservices, CI/CD, cloud infrastructure, and event-driven architecture (Kafka, Redis, or similar) Experience working within agile, product-led organisations Strong communication skills and ability to collaborate across technical and business domains Structured, proactive mindset with a drive to simplify, optimise, and improve engineering processes Background in iGaming, fintech, sports betting, or other high-throughput transaction systems is strongly preferred