Software Engineer

Software Engineer (Generative AI) Miejsce pracy: Warszawa Your responsibilities - creating, developing, and deploying AI/ML-based applications using Azure services - developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases - building and maintaining APIs and microservices to efficiently serve AI/ML-based solutions to customers - streamlining model operationalization and developing model inference backend - ensuring all AI solutions adhere to security, development and governance standards - writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization - creating clear, concise technical documentation for developed components - working in Agile/Scrum teams to deliver high-quality applications on schedule - working closely with Data Scientists and AI Engineers to integrate AI/L into business solutions Our requirements - fluency in English - strong command of Python for AI/ML development - hands-on experience with Azure AI/ML services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services - understanding of Generative AI, LLMs, ML, and (optionally) Natural Language Processing (NLP) technologies - proven experience in developing and maintaining RESTful APIs and microservices - solid understanding of CI/CD pipelines and DevOps best practices within the Azure environment - familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying AI models - ability to thrive in an Agile environment and work effectively with multidisciplinary teams Optional - experience in deploying Generative AI, LLM and ML - experience working with vector databases - knowledge of prompt engineering and strategies for LLM orchestration - proficiency in Python code development in compliance with coding practises and industry standards - practical experience with AI security measures and model governance What we offer - Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape. - Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy. - Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses. - Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future. - Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered - Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit Benefits - sharing the costs of sports activities - private medical care - sharing the costs of foreign language classes - sharing the costs of professional training & courses - life insurance - remote work opportunities - integration events - employee referral program - charity initiatives About the role As a Software Engineer specializing in Generative AI projects, you will be involved in developing and deploying cutting-edge AI solutions within the Azure ecosystem. Collaborating closely with Data Scientists, AI Engineers, and DevOps, you will integrate AI-driven capabilities into our business applications, ensuring they are scalable, secure, high-performing and high quality. Our mission is to harness Artificial Intelligence to revolutionize enterprise processes, embedding AI deeply into our business framework. Your expertise in Azure services and AI/ML technologies will be crucial in realizing this vision. Technology we use - Cloud & AI/ML: Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Data Factory, Azure Blob Storage, Azure DevOps, AKS - Development Tools: Azure DevOps, Databricks, Python, Docker, Kubernetes/AKS - MLOps: MLflow (Databricks) ERGO Technology & Services S.A. ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies' strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems. In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO's business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide. Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers' future needs. Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".