Machine Learning Engineer (personalization) m/f/d

🏢 Summary: Mid-level Quality Engineer role in a mobile product team focused on building and owning quality practices from scratch. The position involves embedding structured quality processes, introducing test automation and CI/CD checks, and driving continuous improvements in an agile, cloud-based environment. You will work closely with developers and product stakeholders to ensure high-quality mobile app delivery. 🗂️ Requirements: Proven QA experience in mobile app product teams, Strong understanding of software quality processes and risk management, Hands-on experience with test automation, Experience setting up automation frameworks, Experience with CI/CD pipelines, Knowledge of shift-left testing practices, Ability to work in agile environment, Strong technical communication skills 📃 Skills: QA, Testing, Automation, Mobile, CI/CD, Agile, Cloud, SOA, Event-driven, Git 🏢 Description: ABOUT US limango is a European platform focused on curated value shopping for families. As part of the OTTO Group - one of Europe’s leading e-commerce players - we connect families with inspiring brands, great deals, and products they truly love. Our ambition is to strengthen our position as one of Europe’s leading discount e-commerce players for families and beyond. Today, limango operates across Germany, Poland Austria, and the Netherlands, offering one of the largest selections for the whole family: from fashion and accessories to toys, outdoor, cosmetics, home and travel offers. Behind the platform is a team that values a good atmosphere, trust, collaboration, flexibility and real impact.  We foster a hybrid-first culture in Munich and Wrocław (2 days in the office), while staying open to remote talent who value the same way of working. JOIN THE LIMANGO IT! At Limango IT, you’ll have the chance to apply your ideas and expertise to improve customer service and order management for the German, Polish, and Dutch markets. You’ll work with a modern technology stack, including cloud-based solutions, service-oriented architecture, and event-driven communication. Additionally, you’ll join an established international agile team comprising experienced developers, a dedicated Product Owner, and a QA engineer. YOUR MAIN TASKS Help build an internal Mobile Product Team’s quality practice from scratch; define and own how quality is measured and delivered. Observe the team, identify real quality gaps and inefficiencies, and drive pragmatic, incremental improvements. Work closely with developers, product and tech leadership to embed quality into the development lifecycle. Introduce structured, context-aware quality processes (shift-left testing, release readiness, risk-based approaches). Design and grow test automation and CI/CD quality checks when the team is ready. Participate in design/code reviews, flaky test mitigation, and create lightweight quality metrics. Act as a Quality Engineer owning outcomes and coaching the team, not only executing test cases. WHAT WE EXPECT Proven QA / Quality Engineer experience within mobile app product teams (Mid level, strong). Broad understanding of software quality beyond test execution: processes, risk, ownership. Hands-on experience with test automation; experience setting up automation frameworks from scratch is a strong plus. Comfortable working in an evolving environment; pragmatic and context-driven. Strong communication skills and ability to challenge decisions constructively. WHAT WE OFFER Hybrid or remote work model Enjoy the flexibility to work either in a hybrid model with 2 days per week in our Wrocław office (you choose the days) if you’re based locally - or fully remotely from anywhere in Poland. Flexible start to your day Flexible start times let you plan your working day in a way that fits your schedule. Real benefits you’ll actually use Enjoy our products your way, for yourself or your loved ones. Plus, a wellbeing platform with access to health programs, webinars and challenges, as well as private medical care (Lux Med) for you and your family and a Multisport card. Office vibes we enjoy A treadmill under a desk, ping-pong table, popcorn machine, Xbox console or a quick break on a massage mat - small things that make your day better. You’re also welcome to bring your child or pet to the office - we genuinely love having them around 😊 Learning & development Access to language learning (English, German, Polish) via an app, along with a wide range of courses, podcasts and learning tools. You’ll also grow through international projects, collaboration and opportunities for occasional business trips that give you exposure to different teams and perspectives. Eco in action From Brita water dispensers instead of plastic bottles to eco-friendly document disposal - we focus on everyday habits that make a real difference. We’ve even planted our own Limango tree to support green spaces in Wrocław. Activities and Events From sports events to team gatherings, company wide events or casual afterwork events in our office - we like to stay active, spend time together and keep things social, in a natural and easy-going way. We look forward to receiving your complete application ( in english), including a letter of motivation, references/ certificates, salary expectations and your earliest possible start date (. We can't wait to get to know you. Apply now!

🏢 Summary: The offer is for a Product Owner responsible for defining and prioritizing the mobile app (Android and iOS) roadmap in an international e-commerce environment. The role focuses on managing the product backlog, aligning stakeholders, and delivering high-quality mobile features in an agile, cloud-based, service-oriented architecture. You will work closely with cross-functional teams to drive continuous releases and integrate AI workflows into daily operations. 🗂️ Requirements: Few years of experience as Product Owner in mobile app projects, Experience in software development teams, Strong knowledge of Agile methodologies, Experience with Android and iOS app products, Ability to manage and prioritize product backlog, Ability to analyze data and user feedback, Experience in stakeholder management, Understanding of AI workflow integration, Experience with continuous release cycles, Fluency in collaboration with cross-functional teams 📃 Skills: Agile, Android, iOS, AI, Scrum, Kanban, Mobile, Cloud, SOA, APIs 🏢 Description: At limango, we’ve been shaping the world of e-commerce for over 18 years. Together with our platforms in the Netherlands, Germany, and Austria, we are proud to be part of the OTTO Group, one of Europe’s leading e-commerce players. We offer the largest selection of products for the entire family, making us a go-to shopping destination for millions of customers across Europe. But limango is more than just a platform, it's a community. We believe in working and growing together, valuing a healthy work-life balance and fostering a culture built on respect, trust, and equality. If these values resonate with you, there’s a good chance you’ll feel right at home with us. We foster a culture built around hybrid work in Wrocław (2 days in the office), while staying open to remote talent who value collaboration and real impact. Join the limango IT! At Limango IT, you’ll have the chance to apply your ideas and expertise to improve customer service and order management for the German, Polish, and Dutch markets. You’ll work with a modern technology stack, including cloud-based solutions, service-oriented architecture, and event-driven communication. Additionally, you’ll join an established international agile team comprising experienced developers, a dedicated Product Owner, and a QA engineer. We are looking for a Product Owner who will be responsible for defining and prioritizing our mobile app on Android and iOS. The ideal candidate must be able to work collaboratively with the development team, stakeholders, and customers to create and maintain a product roadmap that aligns with the company's vision and goals. Key Responsibilities: Define the product vision, roadmap, and strategy for the app team. Develop a deep understanding of the customer needs and behaviors, and work closely with the development team to deliver high-quality features that meet those needs. Prioritize and manage the product backlog based on data and user feedback, ensuring that the most valuable and high-impact features are being delivered first. Collaborate with cross-functional teams including design, engineering, QA, and product management to ensure that features are delivered on time and to the required quality. Conduct user research and analysis to identify new opportunities and improve the product's usability, accessibility, and user experience. Continuously monitor the market, competitors, and industry trends to ensure that the product remains competitive and innovative. Managing expectations and stakeholders effectively. Managing a continuous release cycle for iOS & Android and ensuring a good placement in the relevant app stores. You'll need: Minimum of few years of experience as a Product Owner or similar role in a software development team with a strong focus on mobile apps . Strong understanding of Agile development methodologies and principles. Integration of AI workflows into the daily operations to make work more effective Excellent communication, interpersonal, and stakeholder management skills. Ability to analyze and synthesize data to make informed decisions. Strong organizational skills and attention to detail. Ability to work collaboratively in a team environment and independently. Passion for mobile app development and emerging technologies. Bachelor's degree in Computer Science, Engineering, or a related field is a plus. What We Offer & What You Can Expect Challenging tasks and real impact, you’ll be directly involved in bringing new projects to life and influencing how we grow as a e-commerce business. Fast-paced learning environment, we’re an international team, so you’ll constantly pick up new skills and insights. Flexible working hours and B2B contract, choose when and how you work. Lots of room to grow, through hands-on experience, training, and working with experts from different parts of the world. Benefits Hybrid working model for people from Wrocław, remote working for people from other locations. Private healthcare, we provide access to the best specialists for you and your loved ones through Luxmed. Language classes, join English, German, and Polish lessons in small groups, tailored to your current skill level. Multisport card, stay active and healthy with a Multisport card giving you access to numerous fitness clubs and sports facilities. Team events with great people, we love spending time together after hours,whether it’s fun office meetups or organized outings. We look forward to receiving your complete application, including a letter of motivation, references/ certificates, salary expectations and your earliest possible start date. We can't wait to get to know you. Apply now! Please kindly include in any and all job postings we publish for Limango Polska Sp. z o.o. the following information, in the language of the job posting. At Limango Polska Sp. z o.o. the remuneration regulation have been adopted, providing for the possibility of obtaining an additional jubilee award and use (under certain conditions) of certain benefits (a sport card, medical insurance, life insurance). The remuneration is paid in arrears, on the last day of the calendar month.  Any other part of the employee's remuneration is determined by the employment contract.

🏢 Summary: Senior Machine Learning Engineer role focused on building and scaling end-to-end recommendation systems for personalized content and workout experiences. The position involves developing real-time ML services, running experiments, and deploying production-grade models in a cloud-based environment. You will contribute to unified recommendation architecture and LLM-driven personalization initiatives. 🗂️ Requirements: 4+ years of experience in machine learning, Experience in recommender systems or applied ML domains, Degree in Computer Science, Machine Learning, Statistics, Mathematics or related quantitative field, Hands-on experience building, training and evaluating ML models, Strong software engineering skills, Professional experience with Python, Experience with large-scale data pipelines, Experience with distributed data processing, Experience with Spark and Airflow, Experience with AWS or similar cloud environment, Experience with Kubernetes and production serving technologies, Experience with A/B testing and experiment analysis 📃 Skills: Python, Spark, Airflow, AWS, S3, Kubernetes, RecommenderSystems, DeepLearning, Transformers, LLMs, MLOps, REST, gRPC, FastAPI, ABTesting 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Machine Learning Engineer to join the Personalization team, which owns the recommendation systems powering content discovery across the ecosystem. In this role, you will work on end-to-end ML systems: building and training models, improving real-time recommendation services, running experiments, and deploying scalable solutions into production. You will help evolve the recommendation platform from multiple models toward a more unified, real-time architecture, while also contributing to company's IQ initiatives involving LLMs, personalized plans, and AI-powered member experiences. Key takeaways: Stack : Python, Spark, Airflow, AWS, S3, Kubernetes, recommender systems, Deep Learning, Transformers, LLMs, MLOps, REST/gRPC/FastAPI, A/B testing Salary : 31 000 PLN - 35 000 PLN gross on the Contract of Employment Working model : Hybrid - 3 days/week from the office Location : ul. Grzybowska 60, Warsaw Recruitment process : A call with MOTIFE Recruiter Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Build, train, evaluate, and improve ML models powering personalized workout and content recommendations. Develop and maintain data and ML pipelines using Python, Spark, Airflow, AWS, and S3. Productionize, deploy, monitor, and optimize ML models and recommendation services. Improve real-time model serving, including latency, scalability, reliability, and infrastructure costs. Support the evolution of recommendation systems toward unified rankers, candidate generation, and inference services. Run A/B tests and analyze experiment results with Product Analysts to measure product and member impact. Contribute to IQ initiatives, including personalized plans, insights, LLM-based features, and responsible AI practices. Collaborate with ML Engineers, Data Engineers, Software Engineers, Platform Engineers, Product Managers, and Analysts to deliver scalable personalization features. Requirements: 4+ years of experience in machine learning, ideally in recommender systems, NLP, computer vision, or another applied ML domain. Degree in Computer Science, Machine Learning, Statistics, Mathematics, Operational Research, or another quantitative field. Strong hands-on experience building, training, evaluating, and improving ML models. Solid software engineering skills, including clean code, data structures, algorithms, and production readiness. Professional experience with Python; experience with Java, Kotlin, Go, C, or C++ is a plus. Experience with large-scale data pipelines, distributed processing, and orchestration tools such as Spark and Airflow. Familiarity with cloud-based ML environments, preferably AWS, and production serving technologies such as Kubernetes, REST, gRPC, or FastAPI. Strong communication skills and the ability to work cross-functionally with product, analytics, platform, data, and engineering teams. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.

🏢 Summary: 6-month full-time Graduate Program focused on backend development for modern web and e-commerce platforms. Participants gain hands-on experience building scalable backend applications, APIs, and AI-enabled features using contemporary technologies under senior developer guidance. The program includes practical work with databases, cloud environments, and collaborative product teams. 🗂️ Requirements: Solid understanding of backend development fundamentals, Basic knowledge of object-oriented programming, Hands-on experience or exposure to .NET, Java or Node.js, Understanding of REST API design and server-client communication, Basic knowledge of SQL databases, Basic knowledge of NoSQL databases, Familiarity with Git, Basic understanding of cloud concepts (deployments, environments, scalability), Ability to use AI tools for code generation, refactoring and debugging, Very good English (B2 or higher) 📃 Skills: .NET, Java, Node.js, TypeScript, REST, SQL, NoSQL, Git, Cloud, AI, OOP 🏢 Description: At Columbus , we don’t just implement technology - we give it a human dimension. As a global consultancy, we help organizations create real business value through digital transformation. In Poland, our Digital Commerce team designs and builds modern e-commerce platforms for our Scandinavian customers, providing the technology capabilities and engineering excellence. Location: Wrocław (4 days per week at the office) Start Date: July 2026 (6-month program, full-time) What You'll learn with us This is more than a junior role - it’s a 6-month structured Graduate Program designed to give you real skills and experience in IT. Under the guidance of experienced developers, you will learn how to: Build backend applications for modern web and e-commerce platforms (.NET, Java, Typescript or Node.js) Design and develop REST APIs and handle server-client communication Work with databases (SQL and NoSQL) and understand data modelling basics Build secure, scalable, and performant backend solutions Develop AI-enabled features and use AI tools to improve development workflow Collaborate with frontend developers, QA, product managers, and AI specialists Gain practical knowledge of cloud platforms, deployments, and environments What we’re looking for Solid understanding of backend development fundamentals , regardless of formal education background. Basic knowledge of object-oriented programming concepts and good engineering practices General knowledge of backend technologies , with hands-on experience or learning exposure to at least one of the following ecosystems: .NET, Java or Node.js Openness to working with various backend technologies and readiness to quickly learn and adapt to new languages, frameworks, and tools based on project and team needs. Understanding of API design and server-client communication (REST). Basic knowledge of SQL databases (e.g. relational concepts, queries, transactions) and NoSQL databases (e.g. document or key-value stores, use cases) Familiarity with Git Basic awareness of cloud concepts , such as deployments, environments, configuration, and scalability. Ability to use AI tools to support backend development (e.g. code generation, refactoring, debugging, log analysis). Engineering mindset with strong problem-solving and analytical skills . Very good English communication skills (at least B2 level). Curiosity, passion for technology , and a strong motivation for continuous learning. What's in it for You First and foremost - you’ll build, learn, ask, try, fail, improve - and actually grow with us. Additionally, we offer: Competitive compensation from day one: 8 000 – 10 000 PLN gross/month (Employment Contract). Practical e-commerce experience with AI-driven development. Participation in Columbus global accelerator network: you'll join online training sessions and a 3-day trip to our HQ in Ballerup, Denmark to meet other accelerators from around the world! 2 500 PLN for personal development budget Great benefits package, including the MyBenefit platform (e.g., Multisport, cinema tickets, vouchers), Luxmed, and life insurance. Opportunity to participate in company events, weekly team lunches, and fun team-building activities. We believe great teams are built by people with different perspectives and experiences. If you have a solid foundation and motivation to learn, we encourage you to apply!

🏢 Summary: The role focuses on building and operating scalable, low-latency machine learning infrastructure for real-time personalization services. You will design and maintain Python-based microservices, deploy ML models to cloud environments, and ensure high availability and performance of recommendation systems. The position involves close collaboration with ML and platform teams to bring ML-powered features into production. 🗂️ Requirements: 3+ years of professional software engineering experience, Degree in Computer Science, Engineering, or related technical field, Strong knowledge of data structures and algorithms, Professional experience building backend services in Python, Experience designing RESTful APIs or gRPC services, Experience building microservices architectures, Experience deploying production services on AWS, GCP, or Azure, Experience with relational and non-relational databases, Experience with event-driven architectures and message queues, Strong debugging, profiling, and performance tuning skills 📃 Skills: Python, AWS, GCP, Azure, Kubernetes, Docker, REST, gRPC, Kafka, RabbitMQ, SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog, Grafana, MLflow 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Machine Learning Infrastructure Engineer to join the Personalization team, which owns the systems powering content recommendations across the company’s digital ecosystem. In this role, you will design, build, and maintain low-latency, highly scalable services that make real-time personalization possible. You will work hands-on with backend services, cloud infrastructure, model serving, observability, and performance optimization, partnering closely with ML Engineers, API Engineers, Platform Engineers, and Product Managers to bring ML-powered product features into production. Key takeaways: Stack : Python, AWS/GCP/Azure, Kubernetes, Docker, REST, gRPC, Kafka/RabbitMQ/SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog/Grafana/MLflow Salary : 24 000 PLN - 28 000 PLN gross on the Contract of Employment Working model : Hybrid - 3 days/week from the office Location : ul. Grzybowska 60, Warsaw Recruitment process : A call with MOTIFE Recruiter Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, build, and maintain Python microservices powering personalized content recommendations. Productionize, deploy, monitor, and operate machine learning services in cloud-based production environments. Partner with ML Engineers to integrate models into scalable backend services and real-time recommendation workflows. Ensure high availability, low latency, and strong performance through caching, load balancing, auto-scaling, and capacity planning. Own and improve personalization services, including reliability, testability, observability, scalability, and operational readiness. Conduct performance tuning, profiling, and latency optimization for high-traffic recommendation workloads. Collaborate with platform teams to use infrastructure, tooling, and deployment workflows that support fast product iteration. Work with Product Managers, ML Engineers, API Engineers, and Data Engineers to launch ML-powered personalization features. Requirements: 3+ years of professional software engineering experience and a degree in Computer Science, Engineering, or a related technical field. Strong software engineering fundamentals, including data structures, algorithms, clean code, testing, and reproducibility. Professional experience building backend services in Python; experience with Java, Kotlin, Go, C, or C++ is welcome. Experience designing and building RESTful APIs, gRPC services, or microservices from the ground up. Strong experience deploying and managing production services on AWS or GCP, or Azure. Experience with relational and non-relational databases such as Postgres, MySQL, DynamoDB, or Redis. Experience with event-driven architectures and message queues such as Kafka, RabbitMQ, or SQS. Strong debugging, profiling, and performance tuning skills, including latency tracking, scalability analysis, and production troubleshooting. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.

🏢 Summary: The role involves building and operating scalable, low-latency machine learning infrastructure to power real-time personalization and content recommendations. You will design and maintain Python-based microservices, deploy ML models to cloud environments, and ensure high availability and performance of production systems. The position focuses on backend engineering, cloud infrastructure, and model serving within a cross-functional ML product team. 🗂️ Requirements: 3+ years of professional software engineering experience, Degree in Computer Science, Engineering, or related technical field, Strong knowledge of data structures and algorithms, Professional experience building backend services in Python, Experience designing RESTful APIs or gRPC services, Experience building microservices architectures, Experience deploying production services on AWS, GCP, or Azure, Experience with relational and non-relational databases, Experience with event-driven architectures and message queues, Strong debugging, profiling, and performance tuning skills 📃 Skills: Python, AWS, GCP, Azure, Kubernetes, Docker, REST, gRPC, Kafka, RabbitMQ, SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog, Grafana, MLflow 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Machine Learning Infrastructure Engineer to join the Personalization team, which owns the systems powering content recommendations across the company’s digital ecosystem. In this role, you will design, build, and maintain low-latency, highly scalable services that make real-time personalization possible. You will work hands-on with backend services, cloud infrastructure, model serving, observability, and performance optimization, partnering closely with ML Engineers, API Engineers, Platform Engineers, and Product Managers to bring ML-powered product features into production. Key takeaways: Stack : Python, AWS/GCP/Azure, Kubernetes, Docker, REST, gRPC, Kafka/RabbitMQ/SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog/Grafana/MLflow Salary : 24 000 PLN - 28 000 PLN gross on the Contract of Employment Working model : Hybrid - 3 days/week from the office Location : ul. Grzybowska 60, Warsaw Recruitment process : A call with MOTIFE Recruiter Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, build, and maintain Python microservices powering personalized content recommendations. Productionize, deploy, monitor, and operate machine learning services in cloud-based production environments. Partner with ML Engineers to integrate models into scalable backend services and real-time recommendation workflows. Ensure high availability, low latency, and strong performance through caching, load balancing, auto-scaling, and capacity planning. Own and improve personalization services, including reliability, testability, observability, scalability, and operational readiness. Conduct performance tuning, profiling, and latency optimization for high-traffic recommendation workloads. Collaborate with platform teams to use infrastructure, tooling, and deployment workflows that support fast product iteration. Work with Product Managers, ML Engineers, API Engineers, and Data Engineers to launch ML-powered personalization features. Requirements: 3+ years of professional software engineering experience and a degree in Computer Science, Engineering, or a related technical field. Strong software engineering fundamentals, including data structures, algorithms, clean code, testing, and reproducibility. Professional experience building backend services in Python; experience with Java, Kotlin, Go, C, or C++ is welcome. Experience designing and building RESTful APIs, gRPC services, or microservices from the ground up. Strong experience deploying and managing production services on AWS or GCP, or Azure. Experience with relational and non-relational databases such as Postgres, MySQL, DynamoDB, or Redis. Experience with event-driven architectures and message queues such as Kafka, RabbitMQ, or SQS. Strong debugging, profiling, and performance tuning skills, including latency tracking, scalability analysis, and production troubleshooting. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.

🏢 Summary: The role focuses on designing, building, and optimizing AI-driven backend systems that power a large-scale conversational assistant with low-latency, high-availability requirements. You will work across Java/Kotlin and Python ecosystems to implement LLM orchestration, RAG pipelines, and semantic search solutions within a cloud-native microservices architecture. The position involves full ownership of AI microservices and data pipelines from design to deployment in a production-scale environment. 🗂️ Requirements: Proficiency in Python, Proficiency in Java, Proficiency in Kotlin, Experience with LLM orchestration and RAG, Experience with microservices architecture, Experience with vector search and semantic search, Experience with cloud-native environments, Ability to design and optimize high-availability, low-latency systems, English level B2 or higher 📃 Skills: Python, Java, Kotlin, Spring, ADK, LangChain, Langfuse, LLM, RAG, Kubernetes, Docker, Consul, GitHub, GitHubActions, VectorSearch, Microservices 🏢 Description: About the job: Performance & Scale: Design, build, and optimize AI-driven systems that process complex natural language interactions. Delivering low-latency, high-quality responses from our AI Assistant requires high-availability and smart optimization of LLM and retrieval workloads in practice. Modern Tech Stack: Work with a world-class, cloud-native polyglot environment. Our core backend technologies include Java , Kotlin , Spring, and ADK . At the same time, our AI and orchestration layer heavily relies on Python . You will utilize Python and LangChain for complex LLM orchestration, alongside Langfuse for observability, prompt tracking, and evaluation. We leverage advanced vector search and modern ML solutions to make our assistant truly smart. True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your AI microservices and data pipelines, from design to deployment; and improvements are dictated by results of our own experiments and AI evaluation metrics. Complex Challenges: From LLM orchestration and Retrieval-Augmented Generation (RAG) to semantic search optimization, you'll tackle the complex backend problems that power a conversational marketplace assistant. You will work across the Java/Kotlin and Python ecosystems, integrating advanced embedding models, prompt pipelines, and vector databases to ensure our AI deeply understands and accurately retrieves information. In our domain, we focus on delivering the core search and retrieval capabilities for the Allegro AI Assistant. We maintain a critical entry point for users looking to discover products, compare offers, and get personalized recommendations through natural conversations. Striving for relevancy and accuracy first, we are designing, implementing, and operating an extensive system combining modern microservice architecture with Large Language Models, high-performance retrievers, and vast data sources. We care about data quality, robust context building, and near real-time accuracy to best guide users through a highly dynamic marketplace via an intelligent, conversational interface. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 14 600 - 20 825 Annual bonus based on your annual performance and company results. Our team is based in Poznań. We are looking for people who: Code in Python, Java and Kotlin ; Expect work that requires creative approach to search experience challenges, to be proud of enjoying its results together with all Allegro users; Want to create solid code, eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Know English at at least B2 level. Nice to have: You are open to diverse technologies and workflows, including dev-operational tools on one hand, and working with data on the other. Basic experience with LLM tuning (LoRA, PEFT), training and evaluation pipelines for models and/or basic frameworks for building AI Agents (Agent Development Kit, LangChain, AutoGen, CrewAI) would be great! What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Engineering role focused on designing, building, and optimizing AI-driven microservices that power a conversational marketplace assistant. The position involves LLM orchestration, Retrieval-Augmented Generation, semantic search, and high-performance retrieval in a cloud-native environment. You will own end-to-end development of AI services across Java/Kotlin and Python ecosystems, ensuring scalability, low latency, and high availability. 🗂️ Requirements: Proficiency in Python, Proficiency in Java, Proficiency in Kotlin, Experience with LLM orchestration, Experience with Retrieval-Augmented Generation (RAG), Experience with semantic search and vector search, Experience building microservices, Experience with cloud-native architectures, Ability to design and optimize high-availability systems, English level B2 or higher 📃 Skills: Python, Java, Kotlin, Spring, ADK, LangChain, Langfuse, LLM, RAG, LoRA, PEFT, AutoGen, CrewAI, Kubernetes, Docker, Consul, GitHub, GitHubActions, VectorSearch, Embeddings 🏢 Description: About the job: Performance & Scale: Design, build, and optimize AI-driven systems that process complex natural language interactions. Delivering low-latency, high-quality responses from our AI Assistant requires high-availability and smart optimization of LLM and retrieval workloads in practice. Modern Tech Stack: Work with a world-class, cloud-native polyglot environment. Our core backend technologies include Java , Kotlin , Spring, and ADK . At the same time, our AI and orchestration layer heavily relies on Python . You will utilize Python and LangChain for complex LLM orchestration, alongside Langfuse for observability, prompt tracking, and evaluation. We leverage advanced vector search and modern ML solutions to make our assistant truly smart. True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your AI microservices and data pipelines, from design to deployment; and improvements are dictated by results of our own experiments and AI evaluation metrics. Complex Challenges: From LLM orchestration and Retrieval-Augmented Generation (RAG) to semantic search optimization, you'll tackle the complex backend problems that power a conversational marketplace assistant. You will work across the Java/Kotlin and Python ecosystems, integrating advanced embedding models, prompt pipelines, and vector databases to ensure our AI deeply understands and accurately retrieves information. In our domain, we focus on delivering the core search and retrieval capabilities for the Allegro AI Assistant. We maintain a critical entry point for users looking to discover products, compare offers, and get personalized recommendations through natural conversations. Striving for relevancy and accuracy first, we are designing, implementing, and operating an extensive system combining modern microservice architecture with Large Language Models, high-performance retrievers, and vast data sources. We care about data quality, robust context building, and near real-time accuracy to best guide users through a highly dynamic marketplace via an intelligent, conversational interface. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 14 200 - 20 200 Annual bonus based on your annual performance and company results. Our team is based in Poznań. We are looking for people who: Code in Python, Java and Kotlin ; Expect work that requires creative approach to search experience challenges, to be proud of enjoying its results together with all Allegro users; Want to create solid code, eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Know English at at least B2 level. Nice to have: You are open to diverse technologies and workflows, including dev-operational tools on one hand, and working with data on the other. Basic experience with LLM tuning (LoRA, PEFT), training and evaluation pipelines for models and/or basic frameworks for building AI Agents (Agent Development Kit, LangChain, AutoGen, CrewAI) would be great! What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: 6-month full-time Graduate Program focused on building modern e-commerce web applications with AI-powered features. Participants gain hands-on experience in frontend development using React or Angular, integrating with backend services, APIs, and cloud technologies. The role emphasizes practical learning in real digital commerce projects under senior developer mentorship. 🗂️ Requirements: Solid knowledge of HTML, Solid knowledge of CSS, Solid knowledge of JavaScript, Solid knowledge of TypeScript, Understanding of ES6+, Understanding of asynchronous programming, Knowledge of browser APIs, Familiarity with responsive design, Basic experience with React or Angular, Experience with modern styling approaches (Tailwind or CSS Modules), Basic knowledge of RESTful APIs, Experience with Git, Practical ability to use AI development tools 📃 Skills: HTML, CSS, JavaScript, TypeScript, ES6, React, Angular, Tailwind, CSSModules, REST, Git, Nodejs, SQL, NoSQL, Cloud, APIs, AI 🏢 Description: At Columbus , we don’t just implement technology - we give it a human dimension. As a global consultancy, we help organizations create real business value through digital transformation. In Poland, our Digital Commerce team designs and builds modern e-commerce platforms for our Scandinavian customers, providing the technology capabilities and engineering excellence. Location: Wrocław (4 days per week at the office) Start Date: July 2026 (6-month program, full-time) What You'll learn with us This is more than a junior role - it’s a 6-month structured Graduate Program designed to give you real skills and experience in IT. Under the guidance of experienced developers, you will learn how to: Build modern e-commerce web applications and integrate them with backend services and AI solutions. Create performant and interactive user interfaces using frameworks like React or Angular, writing reusable, scalable code with TypeScript. Deliver AI-powered features such as product recommendations or conversational shopping experiences by integrating the frontend with intelligent APIs. Collaborate effectively with designers, product managers, and backend engineers, developing both your technical and soft skills. Gain practical knowledge of Node.js, cloud platforms, and databases, broadening your perspective beyond the frontend layer. What we’re looking for Solid frontend fundamentals : HTML, CSS, JavaScript, and TypeScript. A formal degree isn't required - skills matter most. Good understanding of modern JavaScript (ES6+) , asynchronous programming, and browser APIs. Familiarity with responsive design principles and cross-browser compatibility. Basic experience with React OR Angular and modern styling approaches (e.g., Tailwind, CSS Modules). Basic knowledge of RESTful APIs and using version control systems (Git). Practical ability to use AI tools - you're comfortable using code assistants, design-to-code tools, or AI-based debugging solutions. A broader understanding of the frontend role: basic knowledge of Node.js, cloud concepts, and databases (SQL/NoSQL) is a plus. Communicative spoken English (min. B2 level) and Polish. Strong problem-solving skills, a willingness to learn, and a proactive attitude. What's in it for You First and foremost - you’ll build, learn, ask, try, fail, improve - and actually grow with us. Additionally, we offer: Competitive compensation from day one: 8 000 - 10 000 PLN gross/month (Employment Contract). Practical e-commerce experience with AI-driven development. Participation in Columbus global accelerator network: you'll join online training sessions and a 3-day trip to our HQ in Ballerup, Denmark to meet other accelerators from around the world! 2 500 PLN for personal development budget Great benefits package, including the MyBenefit platform (e.g., Multisport, cinema tickets, vouchers), Luxmed, and life insurance. Opportunity to participate in company events, weekly team lunches, and fun team-building activities. We believe great teams are built by people with different perspectives and experiences. If you have a solid foundation and motivation to learn, we encourage you to apply!

🏢 Summary: The role focuses on designing, building, and operating production-grade machine learning solutions using classical and deep learning models. You will develop end-to-end ML pipelines, ensure robust and reproducible deployments, and collaborate on technical solution design in a production environment. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Experience building and operating production-grade machine learning pipelines, Strong Python engineering skills with clean code practices, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML platforms and cloud-based ML environments, Fluent English, Fluent Polish, Availability to work in hybrid mode with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, MachineLearning, DeepLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "